Goran Zajić, PhD | | Department School of Information and Communication Technologies

Goran Zajić, PhD 

др Горан Зајић
  •  Title: professor of applied studies
  •  E-mail:

 Education

PhD degree, School of Electrical Engineering, University of Belgrade, 2015.

M.S. degree, School of Electrical Engineering, University of Belgrade, 2005.

B.S. degree , School of Electrical Engineering, University of Belgrade, 2004.

Thesis:

  • G. Zajic, “Automatic Image Watermark Extraction Based on ICA”, Master Thesis, School of Electrical Engineering University of Belgrade, December 2005., Serbia.
  • G. Zajic, “Shot Boundary Detection in Video Sequence Using Multifractal Analysis”, PhD Thesis, School of Electrical Engineering University of Belgrade, April 2015., Serbia.

 Work Experience

From 2006 – 2015  – Teaching Assistant, ICT College of Vocational Studies.

From 2015 - present – Professor of Applied Science, ICT College of Vocational Studies.

From 2015 - 2019 – Director, ICT College of Vocational Studies.

From 2019 - 2021 – acting Department Manager, ATUSS Belgrade, Department School for Information and Communication technologies

 Professional Development and Affiliations

Experience in working groups of Ministry of Education, Science and Technological Development Republic of Serbia and other agencies

1.         Member of Working group for drafting part of the Finance of High Education Law, in the part of vocational higher education, Ministry of Education, Science and Technological Development Republic of Serbia, drafting coordinator fincing model (October 2019 - March 2020)

2.         Member of Sector Skills Council for Information and Communication Technologies, Electrical Engineering, Automatics and Electronics, National Qualifications Framework in Serbia, Qualifications Agency. (December 2018 - Present)

Digital Forensics

Member of forensics team, of School of Electrical Engineeering University of Belgrade, in two court cases (Higher Court in Belgrade, Higher Court in Belgrade Special Department for Criminal Acts of Organised Crime). 2013.

Memberships in professional associations

●          Member of TELECOMMUNICATIONS SOCIETY BELGRADE professional society.

●          Member of ETRAN professional society

●          Member and President of FTTH Association Serbia

●          Member of Group for Digital Image Processing, Telemedicine and Multimedia
            Laboratory (IPTM Group), at the School of Electrical Engineering,
            University of Belgrade.

Other activities

Reviewer for scientific and professional journal publications and conference papers (IEEE, HINDAWI Publishing Corp.. etc.)

Professional training

Advance Matlab and Symulink user, Gamax Ltd.training.

CISCO (CCNA) training.

Certificates:

●          MikroTik academy trainer, MikroTik Training Center Е-ТЕ-CO d.o.o, instructor Saso Jordaki, Slovenia, 2015.

●          MTCNA - MikroTik Certified Network Associate

●          MTCRE - MikroTik Certified Routing Engineer

●          MTCWE - MikroTik Certified Wireless Engineer

●          MTCTCE - MikroTik Certified Traffic Control Engineer

●          CCNA course, CISCO Academy.

●          ”JAVA Programming”, ORACLE Academy, certificate.

●          ”JAVA Fundamentals”, ORACLE Academy, certificate.

●          ”Database Design and Programming with SQL”, ORACLE Academy, certificate.

●          Apple Certification Training, “App Development with Swift 4”, Certification of
            Achievement

Papers in international journals with impact factor:

●          A Devic, M Vasiljevic, M Sorak, A Devic, I Rudic Biljic Erski, G Zajic,“The effect of hysteroscopic polypectomy on the concentrations of tumour necrosis factor-α (TNF-α) in uterine flushings and serum in infertile women”, SRPSKI ARHIV ZA CELOKUPNO LEKARSTVO (SRP ARH CELOK LEK)(Serbian Archive of Medicine), (2019), vol. 147 br. 11-12, str. 1-28. (ISSN 0370-8179 (PRINT) ISSN 2406-0895 (ONLINE)) (DOI:10.2298/SARH191026120D) (http://srpskiarhiv.rs/global/pdf/onlinefirst/120-19OlF-v1.pdf) (IF2018 = 0.299) (M23)

●          G. Zajić, A. Gavrovska, I. Reljin, B. Reljin,”A Hard Cut Detection using Multifractal Features”, Multimedia Tools and Applications, 2019 Mar 1;78(5):6233-52. (DOI: 10.1007/s11042-018-6420-8) (IF2018=2.101) (M22)

●          A. Gavrovska, G. Zajić, V. Bogdanović, I. Reljin, B. Reljin, “Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context,” Complexity, vol. 2017, Article ID 1580414, 9 pages, 2017. doi:10.1155/2017/1580414, (IF2017 = 1.829) (M22)

●          A. Gavrovska, G. Zajic, V. Bogdanovic, I. Reljin, B. Reljin, “Paediatric heart sound signal analysis towards classification using multifractal spectrum,” Physiological Measurement, IOP Publishing, Bristol, UK (doi: 10.1088/0967-3334/37/9/1556), (IF2016=2.058). (M22)

●          A. Gavrovska, G. Zajić, I. Reljin, B. Reljin,” Classification of Prolapsed Mitral Valve versus Healthy Heart from Phonocardiograms by Multifractal Analysis,” Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine, Volume 2013, Article ID 376152, 10 pages, http://dx.doi.org/10.1155/2013/376152. (IF2013=0.791)(M23)

●          G. Zajić, N. Kojić, V. Radosavljević, M. Rudinac, S. Rudinac, N. Reljin, I. Reljin, B. Reljin, “Accelerating of Image Retrieval in CBIR System with Relevance Feedback”, EURASIP Journal on Advances in Signal Processing, Spec. Issue on Knowledge Assisted Media Analysis for Interactive Multimedia Applications, Volume 2007 (2007), Article ID 62678, 13 pages.( doi:10.1155/2007/62678)(IF2007=0.81)(M23)

Papers in international journals:

●          Gavrovska A., Reljin I., Samčović A., Milivojević M., Zajić G., Starovoitov V.,”High dynamic range mapping for synthetic aperture radar images, Telfor Journal, vol. 10, br. 1, str. 56-61, 2018. (ISSN: 1821-3251, eISSN: 2334-9905) (М52).

●          G. J. Zajić, M. D. Vesić, A. M. Gavrovska, I. S. Reljin, “Animation Content in Frame Analysis,” Telfor Journal, Vol. 8, No. 1,pp. 110-114,  2016. (ISSN 1821-3251 (Print Issue), ISSN 2334-9905 (Online)),(М52).

●          G. J. Zajić, N. S. Kojić, and B. D. Reljin, "Improving CBIR Systems Using Automated Ranking, " Telfor Journal, Vol. 4, No. 2, 2012, pp.116-121.(M53)

●          B. Reljin, G. Zajić,N. Reljin,I. Reljin,” Adaptive Clustering of Image Database (ACID) as an Efficient Tool for Improving Retrieval in a CBIR System.”, Stud Health Technol Inform. 2012 ;179:172-183. ( DOI: 10.3233/978-1-61499-086-4-172).(M53)

●          G. J. Zajić, I. S. Reljin, and B. D. Reljin, “ Video Shot Boundary Detection based on Multifractal Analisys,” Telfor Journal, Vol. 3, No. 2, 2011, pp.105-110.(M53)

Papers in national journals:

●          Aleksandar P. Dević, Ana M. Dević, Mladenko Vasiljević, Goran Zajić ,“Značaj operativne histeroskopije u tretmanu patologije kavuma uterusa kod infertilnih pacijentkinja (The importance of operative hysteroscopy in treating pathologies of the uterine cavity in infertile patients)”, Timočki medicinski glasnik, Vol. 2, Issue 46, pp. 72-78, 2021. (ISSN 0350-2899) (UDK 618.14-072.1 618.177-089 COBISS.SR-ID 46373897) (M52)

●          AP Dević, AM Dević, M Šorak, G Zajić, S Mitrović,” Immunohistochemical analysis of the expression of the glycodelin cytokine in endometrial tissue and the endometrial polyp, before and after hysteroscopy, in infertile female patients” Serbian Journal of Experimental and Clinical Research, Vol 22 (2), 2021. (ISSN 1820-8665) (doi:10.2478/sjecr-2021-0023) (M51)

●          S. Čabarkapa, G. Zajić, M. Pavlović, N. Slavković, N. Reljin, M. Kragović, "System for digitalization of medical images based on DICOM standard", Serbian Journal of Electrical Engineering, vol. 6, iss. 3, pp. 409-418, 2009.(M51)

●          N. Kojić, S. Čabarkapa, G. Zajić, B. Reljin, "Implementation of neural network in CBIR systems with relevance feedback", Journal of Automatic Control, Vol 16, pp. 41-45, 2006.(M52)

Papers from international conferences:

●          A. Gavrovska, M. Milivojević, G. Zajić, Analysis of SVT-AV1 format for 4k video delivery, 28th Telecommunications forum TELFOR 2020, Belgrade, Serbia, Nov, 2020. (M33)

●          G. Zajić, K. Popović, A. Gavrovska, I. Reljin, B. Reljin, „Video-based Assistance for Autonomous Driving,“ Zooming Innovation in Consumer Technologies Conference (ZINC), IEEE, Novi Sad, Serbia, pp. 151-154, May 26-27, 2020. (Electronic ISBN: 978-1-7281-8259-9, Print on Demand (PoD) ISBN: 978-1-7281-8260-5; doi: 10.1109/ZINC50678.2020.9161771), (M33)

●          V.Malesevic, A.Slavkovic, S.Kostic, N.Slavkovic, G.Zajic, "The Impact of the Next Financial Crisis on Equities and Cryptocurrencies", International Conference on Business & Economics - ICBE 2019, pp 6-8, ISBN 978-93-5396-259-3, 28-29 December 2019, London, United Kingdom. (Best Conference paper Award). (M33)

●          G.Zajic, N.Slavkovic, M.Bjelica, A.Slavkovic, S.Kostic, V.Malesevic, "Road Surface Degradation as a Main Decision-Making Problem in Autonomous Driving Process", International Conference on IT & Computer Science - ICITCS 2019, pp 45-49, ISBN 978-93-5396-259-3, 28-29 December 2019, London, United Kingdom. (Best Conference paper Award). (M33)

●          A. Gavrovska, G. Zajić, M. Milivojević, I. Reljin,“ Machine-learning based Blind Visual Quality Assessment with Content-aware Data Partitioning”, 14th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, November 20-21, 2018. S1.2.( CD-ROM:(ISBN:978-5386-6973-0),978-1-5386-6974-7/18/$31.00 ©2018 IEEE) (M33)

●          M. Pavlović, G. Zajić, M. Zajeganović, D. Ristić, I. Reljin and M. Mijić, „Classification of Room Impulse Responses using Kohonen Neural Network“, 14th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, November 20-21, 2018. S1.5.( CD-ROM:(ISBN:978-5386-6973-0),978-1-5386-6974-7/18/$31.00 ©2018 IEEE) (M33)

●          N. Slavkovic, G. Zajic, A. Gavrovska, I. Reljin, B. Reljin and M. Bjelica,”Integrating Mobile Vehicle Sensor Diagnostic Procedures into the Intelligent Transportation Network”, 14th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, November 20-21, 2018. S1.6.( CD-ROM:(ISBN:978-5386-6973-0),978-1-5386-6974-7/18/$31.00 ©2018 IEEE) (M33)

●          M. Vesić, G Zajić, A. Gavrovska, N. Kojić,” Web Visual Search Using Re-ranking Method and Neural Network Machine Learning”, 5th International Conference IcETRAN 2018, pp. 817-821, ISBN 978-86-7466-752-1,11-14.06.2018., Palić., Serbia. (Conference Section Award) (M33)

●          G. Zajić, M. Pavlović, M. Kragović, “Advanced Tools for Dynamic Routing Protocol Optimization in Computer Networks”, ", Proc. of International Scientific Conference on Recent Advances in IT, Tourism, Economics, Management and Agriculture – ITEMA 2017, pp. 19-26, ISBN 978-86-80194-08-0, Budapest, October 26, 2017. (M33)

●          M. Vesić, G. Zajić, N. Kojic, "Web content mining improvement using multifractal analysis", Proc. of International Scientific Conference on Recent Advances in IT, Tourism, Economics, Management and Agriculture – ITEMA 2017, pp. 41-46, ISBN 978-86-80194-08-0, Budapest, October 26, 2017. (M33)

●          A. Gavrovska, I. Reljin, A. Samčović, M. Milivojević, G. Zajić, V. Starovoitov,”On Luminance Reduction in High Dynamic Range Synthetic Aperture Radar Images”, 25th Telecommunications forum TELFOR 2017, Serbia, Belgrade, November 21-22, 2017, pp. 605-608.(ISBN(CD): 978-1-5386-3072-3, IEEE Catalog Number: CFP1798P-CDR, 978-1-5386-3073-0/17/$31.00 ©2017 IEEE), (M33)

●          M. Vesić, G. Zajić and A. Gavrovska, "CBIR System with Relevance Feedback using Hölder exponent," 13th Symposium on Neural Network Applications in Electrical Engineering (NEUREL) 2016, 22-24 November 2016, Belgrade, pp. 163-166. (IEEE Catalog Number: CFP16481-PRT, ISBN(Proc.): 978-1-5090-1529-0, ISBN(CD): 978-1-5090-1528-3, ISBN(IEEE): 978-1-5090-1530-6), M33

●          A. Gavrovska, M. Milivojevic, G. Zajic and I. Reljin, "Video Traffic Variability in H.265/HEVC Video Encoded Sequences," 13th Symposium on Neural Network Applications in Electrical Engineering (NEUREL) 2016, 22-24 November 2016, Belgrade, pp. 109-112. (IEEE Catalog Number: CFP16481-PRT, ISBN(Proc.): 978-1-5090-1529-0, ISBN(CD): 978-1-5090-1528-3, ISBN(IEEE): 978-1-5090-1530-6), M33

●          G. J. Zajić, “Shot-Change Detection Based on Multifractal Analysis” (Invited Paper), 23nd Telecommunications forum TELFOR 2015, Serbia, Belgrade, November 24-25 2015, pp. 881 – 888. (ISBN: 978-1-4799-6190-0, doi: 10.1109/TELFOR.2014.7034546), M31

●          G. Zajić, M. Vesić, A. Gavrovska, I. Reljin, “Animation Frame Analysis”, 23nd Telecommunications forum TELFOR 2015, Serbia, Belgrade, November 24-25, 2015, pp.732-735. (ISBN: 978-1-5090-0054-8, IEEE Catalog Number: CFP1598P-CDR, doi: 10.1109/TELFOR.2015.7377570),http://www.telfor.rs/ (M33)

●          A. Gavrovska, G. Zajić, I. Reljin, V. Bogdanović, B. Reljin,, “Second Generation Wavelets: Advantages in Cardiosignal Processing”, in Proc. of 11th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services - TELSIKS, Serbia, Nis, October 16-19, 2013. (IEEE Catalog Number: CFP13488-CDR, ISBN: 978-1-4799-0900-1) (M33)

●          A. Savić, G. Zajić, N. Kojić, "Analysing Volatility of Belgrade Stock Market Using Multifractal Analysis", Balcor 2011, 10th Balcan Conference on Operational Research, Thessaloniki, Greece, 22.-24. september 2011. (M33)

●          N. Kojić, G. Zajić, S. Čabarkapa, M. Pavlović, V. Radosavljević, B. Reljin, ”The Influence of the Feature Vector Content on the CBIR System Efficiency”, TELSIKS 2009, 9th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, Nis-Serbia, 7.-9. October 2009. (M33)

●          A. Savić, G. Zajić, “Extreme Value Theory for Risk Modeling of Large Operational Losses“, BALCOR 2009 – The 9th Balkan Conference on Opertional Research, Constanta- Romania, 02-06 septembar 2009. (M33)

●          V. Radosavljević, N. Kojić, G. Zajić, B. Reljin, “The Use of Unlabeled Data in Image Retrieval with Relevance Feedback”, in Proc. 9th Sem.NEUREL-2008, pp. 21-26, Beograd, Sept. 25-27, 2008. (M33)

●          G. Zajić, N. Kojić, N.Reljin, B. Reljin, “Experiment with Reduced Feature Vector in CBIR System with Relevance Feedback”, IET Conf.Publications,  vol. 2008,  no. CP543,  pp.176 -181 2008. (M33)

●          G. Zajić, N. Kojić, N.Reljin, B. Reljin, “Statistical Analysis of Feature Vector Relevance in CBIR System”, XLIII International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2008, June 25-27, Nis, Serbia, 2008. (M33)

●          S. Rudinac, G. Zajić, M. Ušćumlic, M. Rudinac, B. Reljin "Comparison of CBIR Systems with Different Number of Feature Vector Components", in Proc. 2nd of International Workshop on Semantic Media Adaptation and Personalization (SMAP 2007), pp. 199–204, December 17-18, London, UK, 2007. (M33)

●          Q. Zhang, K. Chandramouli, U. Damnjanovic, T. Piatrik, E. Izquierdo, M. Corvaglia, N. Adami, R. Leonardi, G. Yakin, S. Aksoy, U. Naci, A. Hanjalic, S. Vrochidis, A. Moumtzidou, S. Nikolopoulos, V. Mezaris, L. Makris, I. Kompatsiaris, E. Esen, A. Alatan, E. Spyrou, P. Kapsalas, G. Tolias, P. Mylonas, Y. Avrithis, B. Reljin, G. Zajic, R. Jarina, M. Kuba, N. Aginamo, J. Goya, B. Mansencal, J. Benois-Pineau, A.M.G. Pinheiro, L.A. Alexandre, P. Almeida, “The COST292 experimental framework for TRECVID 2007”, NIST, TRECVID, 2007.

(E. Spyrou, P. Kapsalas, G. Tolias, Ph. Mylonas Y. Avrithis et al., "The COST292 experimental framework for TRECVID 2007", 5th TRECVID Workshop, Gaithersburg, USA, November 2007.) (M33)

●          S. Rudinac, M. Ušćumlić, M. Rudinac, G. Zajić, B. Reljin, “Global image search vs. regional search in CBIR systems ”, in Proc. Conf. WIAMIS 2007, June 2007, Santorini, Greece. (M33)

●          M. Janković, G. Zajić, V. Radosavljević, N. Kojić, N. Reljin, M. Rudinac, S. Rudinac, B. Reljin, “Minor component analysis (MCA) applied to image classification in CBIR system”, in Proc. 8th Sem.NEUREL-2006, pp. 11-16, Beograd, Sept. 25-27, 2006. (M33)

●          G. Zajić, N. Kojić, V. Radosavljević, S. Čabarkapa, B. Reljin, ”Feature Vector Reduction in CBIR System with Relevance Feedback”, in Proc. 13th Inter. Conf. IWSSIP-2006, pp. 479-482, Budapest, Hungary, 21-23, Sept. 2006. (M33)

●          V. Radosavljević, N. Kojić, S. Čabarkapa, G. Zajić, I. Reljin, B. Reljin, “An image retrieval system with user’s relevance feedback”, in Proc. 7th Conf. WIAMIS-2006, pp. 9-12, Seоul, Korea, 19-21, April 2006. (M33)

●          S. Čabarkapa, N. Kojić, V. Radosavljević, G. Zajić and B.Reljin, „Adaptive content-based image retrieval with relevance feedback“, Conf. EUROCON-2005, Belgrade, Nov. 21-24, 2005. (M33)

Papers from national conferences with international participation:

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Papers from national conferences:

●          M. Zajeganović, N. Kurbalija, S. Čabarkapa, M. Pavlović, G. Zajić, “Simulating Internet of Things in Packet Tracer”, 6th International conference on Knowledge management and informatics, 13-14. January, 2020. Kopaonik, Serbia. (ISBN 978-86-6211-123-4) (M63)

●          G Zajic, N Slavkovic,”The Fiber Optic Networks Applications on Railways”, (In Serbian) In Proc. of the First International Symposium Rail Transport in The Modern World, Volume 1, pp. 232-235, 12th-13th December, Belgrade,2019. ISBN: 978-86-81101-32-2 (M63)

●          M Zajeganovic, G Zajic, N Kurbalija, M Pavlovic, S Cabarkapa,”Pregled tipova enkripcije”, (in Serbian), In Proc. of 14. Međunarodno savetovanje na temu rozik I bezbednosni inženjering, 2019, Kopaonik, 11-13. Januar, Serbia, pp. 145-150. (ISBN: 978-86-6211-116-6) (COBISS.SR-ID 327615751) (M63)

●          M Zajeganovic, G Zajic, N Kurbalija, M Pavlovic, S Cabarkapa,“MININET za simulaciju rada računarskih mreža“, (in Serbian)  In Proc. of 5th International Conference on Knowledge Management and Informatics, 2019, Kopaonik 08.-09., Serbia, pp. 58-64. (ISBN: 978-86-6211-115-9) (COBISS.SR-ID 327620103) (M63)

●          M. Vesić, G. Zajić, N. Vugdelija, A. Gavrovska, I. Reljin "Automatska selekcija relevantnih obeležja kod  sistema baziranih na veštačkoj inteligenciji",(in Serbian) Zbornik radova konferencije "ICT Pulse" u okviru XXIII Festivala informatičkih dostignuća – INFOFEST, 25.09. - 1.10. Budva, Crna Gora, 2016. (M63) (Nagrađen rad: Posebno priznanje za kvalitet rada) (M63)

●          G. Zajić, A. Gavrovska, I. Reljin,“ Mogućnosti detekcije promena kadrova u televizijskom programu u realnom vremenu,” XXXIII Simpozijum o novim tehnologijama u poštanskom i telekomunikacionom saobraćaju, Postel 2015, Beograd, 1-2 decembar 2015., (M61).

●          G. Zajić, N. Kojić, M. Zajeganovic-Ivancic, B.Reljin, “Improving CBIR Systems Using Clusterization” (in Serbian), TELFOR, Beograd, November. 20-22, 2012. (M63)

●          G. Zajić, N. Kojić, B.Reljin, “Searching Image Database Based on Content” (in Serbian), TELFOR, Beograd, November. 22-24, 2011. (M63)

●          A. Savić,N. Kojić, G. Zajić,I. Reljin, B. Živković, " Multifractal analysis of stock market (Case study of Belgrade Stock Exchange)" (in Serbian), SYM-OP-IS 2011, XXXVIII Symposium on Operations Research, Zlatibor, 4.-7. September, 2011. (M63)

●          G. Zajić, B. Reljin,“Efficiency analysis of the of automated CBIR system for different image features vectors” (in Serbian), in Proc. Conf. ETRAN 2011, Banja Vrućica, Bosnia and Herzegovina, June 6-9, 2011. (M63)

●          N. Kojić, G. Zajić,“Automated CBIR system based on ranking” (in Serbian), in Proc. Conf. ETRAN 2011, Banja Vrućica, Bosnia and Herzegovina, June 6-9, 2011. (M63)

●          G. Zajić, B. Reljin, "CBIR System With Automated Selection of Relevant Images", in Proc. Conf.  Scientific and Professional Symposium INFOTEH-2011, Jahorina, 16-18. march, 2011. (M63)

●          G. Zajić, I. Reljin, B.Reljin, “Shot Boundary Detection in Video Sequence Based on Multifractal Analysis”, TELFOR, Beograd, November. 23-25, 2010. (M63)

●          M. Spasojević, M. Pavlićević, N. Kojić, G. Zajić, “One e-learning solution for computer network education”(in Serbian), TELFOR, Beograd, November. 23-25, 2010. (M63)

●          A. Savić, G. Zajić, J. Milutinović, „Operational risk modelling with the use of modificated logistic regression“(in Serbian), in Proc. Conf. SymOpIs2010-XXXVII Symposium on Operations Research, Tara, 21-24 september, 2010. (M63)

●          M. Pavlićević, M. Spasojević, G. Zajić, N. Kojić, “One Approach of Console Server for Remote Access” (in Serbian), in Proc. Conf. ETRAN 2010, Donji Milanovac, June 7-10, 2010. (M63)

●          A. Savić, G. Zajić, “Modelling Extremal Losses from Operational Risk Databases” (in Serbian), in Proc. Conf. SymOpIs2009 - XXXVI Symposium on Operations Research, Ivanjica, 22.- 25. September 2009. (M63)

●          G. Zajić, S. Čabarkapa, N. Kojić, V. Radosavljević, B. Reljin, “Comparison of Two Methods for Image Classification in CBIR System With Modified Feature Vector” (in Serbian) , in Proc. Conf. ETRAN 2009, Vrnjačka Banja, June 15-19, 2009. (M63)

●          S. Čabarkapa, G. Zajić, M. Pavlović, N. Slavković, N. Reljin, M. Kragović “System for Digitalization of Medical Images Based on DICOM Standard” (in Serbian) , in Proc. Conf. ETRAN 2009, Vrnjačka Banja, June 15-19, 2009. (M63)

●          N. Slavković, N. Reljin, M. Pavlović, N. Kojić, S. Čabarkapa, G. Zajić, M. Kragović, "Web Oriented Service Implementation for the Medical Image Processing", in Proc. Conf.  Scientific and Professional Symposium INFOTEH-2009, Jahorina, 18-20. march, 2009. (M63)

●          G. Zajić, M. Kragović, N. Kojić, S. Čabarkapa, N. Reljin, M. Pavlović, N. Slavković , “System for Digitalization, Archiving and Retrieving Medical Images“(in Serbian),in Proc. Conf.  XV YU INFO 09, Kopaonik, march 8-11, 2009. (M63)

●          L. Perazić, Đ.  Smiljanić, G.  Zajić, B. Reljin, “Image Classification Using Modified Feature Vector and SVM Algorithm” (in Serbian), in Proc. Conf. ETRAN 2008, , Palić, june 8-12, 2008. (M63)

●          D. Kleut, J. Stanković, G.  Zajić, “Statistical Analysis of Image Feature Vectors of CBIR System” (in Serbian), in Proc. Conf. ETRAN 2008, jun 8-12, Palić, Srbija, 2008. (M63)

●          N. Reljin, V. Đorđević, N. Reljin, G.  Zajić, “Retrieving of Audio Base by Using Wavelet Descriptors” (in Serbian), in Proc. Conf.  XIV YU INFO 2008, Kopaonik. march 9-12, 2008. (M63)

●          S. Rudinac, M. Ušćumlić, G. Zajić, M. Rudinac, B. Reljin, “Improvements in Content-based Image Retrieval System” (in Serbian), in Proc. Conf. ETRAN 2007, June 2007, Herceg Novi – Igalo, Montenegro, June 4-8, 2007. (M63)

●          D. Dujković, G. Zajić, "Using HBM method for Rotating Gray Scale Images"(in Serbian), in Proc. Conf. ETRAN 2007, Herceg Novi-Igalo, Montenegro, June 4-8, 2007. (M63)

●          S. Rudinac, M. Rudinac, G. Zajić, N. Kojić, V. Radosavljević, N. Reljin, I. Reljin, “Retrieving of Images With Desidered Object Using CBIR System” (in English), in Proc. Conf. TELFOR 2006, Beograd, November 21-23, 2006. (M63)

●          G. Zajić, N. Kojić, V. Radosavljević, S. Rudinac, M. Rudinac, N. Reljin, B.Reljin, “CBIR System for Pre-classified Image Database” (in Serbian), in Proc. Conf. TELFOR 2006, Beograd, November 21-23, 2006. (M63)

●          N. Kojić, S. Čabarkapa, G. Zajić, “Adaptive Neural Network for Image Retrieval” (in Serbian), in Proc. Conf. ETRAN 2006, Beograd, Jun 6-8, 2006. (M63)

●          S. Čabarkapa, N. Kojić, V. Radosavljević, G. Zajić, B. Reljin, “An Improved Image Retrieval System Based on Adaptive Clusterization” (in Serbian), in Proc. Conf. ETRAN 2006, Beograd, Jun 6-8, 2006. (M63)

Projects:

●          “Development of embedded systems with connected services and digital technology”, project number: III44009. (2011-2019), volunteer work.

●          Comenius project, ”Improving educational effectiveness of primary schools” (538992-LLP-1-2013-1-RS-COMENIUS-CMP), EU, 2013-2016, programmer.

●          Tempus project: Visuality & Mathematics: Experiential Education of Mathematics through Visual Arts, Sciences and Playful Activities (VisMath), grant 860190.23, ref. number 530394-2012, October 2012- October 2014, lecturer.

●          COST Action IC0604, “Anatomic Telepathology Network (EURO-TELEPATH)”, 2007-2012, researcher.

●          "Development of the System for Digitalization of Medical Images, Archiving in a Image Database and Database Searching", Innovation project of the Ministry of Science of Serbia for the year 2008/2009, researcher.

●          COST Action 292, “Semantic Multimodal Analysis of Digital Media”, 2004-2008, researcher.

Citations:

Рад:

A. Gavrovska, G. Zajić, I. Reljin, B. Reljin,” Classification of Prolapsed Mitral Valve versus Healthy Heart from Phonocardiograms by Multifractal Analysis,” Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine, Volume 2013, Article ID 376152, 10 pages, http://dx.doi.org/10.1155/2013/376152. (IF:0.791 2013.)

је цитиран:

  1. J. Granados, F. Tavera, J. M. Velazquez, G. Lopez, R. T. Hernandez, A. Morales, “Acoustic heart. Interpretation of Phonocardiograms by computer.”, Journal of Physics: Conference Series 582 (2015) 012057, 2015. (doi:0.1088/1742-6596/582/1/012057).
  2. J. G. Samaniego, F. T. Romero, J. M. V. Arcos, G. L. Gonsález, R. T. H. López, A. M. Lárraga,” Fonocardiografia Asistida por Computadora”, V CONGRESO NACIONAL DE TECNOLOGÍA APLICADA A CIENCIAS DE LA SALUD, junio de 2014, TONANTZINTLA, PUEBLA, MÉXICO, 2014.
  3. S. Patidar, R.B. Pachori, N. Garg,”Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals,” Expert Systems with Applications, (In Press, Accepted Manuscript, Available online 4 December 2014) (doi:10.1016/j.eswa.2014.11.046)
  4. Y. Zheng, X. Guo, X. Ding, “A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification,” Expert Systems with Applications. (2014) (In Press, Accepted Manuscript, Available online 8 November 2014) (DOI: 10.1016/j.eswa.2014.10.051)

Рад:

V. Radosavljević, N. Kojić, S. Čabarkapa, G. Zajić, I. Reljin, B. Reljin, “"An image retrieval system with user’s relevance feedback”, in Proc. 7th Conf. WIAMIS-2006, pp. 9-12, Seоul, Korea, 19-21, April 2006.

је цитиран:

  1. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).

Рад:

A. Gavrovska, G. Zajić, I. Reljin, B. Reljin, ,” Classification of Prolapsed Mitral Valve versus Healthy Heart from Phonocardiograms by Multifractal Analysis,” Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine, Volume 2013, Article ID 376152, 10 pages, http://dx.doi.org/10.1155/2013/376152. (IF:0.791 2013.)

је цитиран:

  1. Y. Zheng, X. Guo, X. Ding, “A novel hybrid energy fraction and entropy-based approach for systolic heart murmurs identification,” Expert Systems with Applications. (2014) (In Press, Accepted Manuscript, Available online 8 November 2014)(DOI: 10.1016/j.eswa.2014.10.051)

Рад:

V. Radosavljević, N. Kojić, S. Čabarkapa, G. Zajić, I. S. Reljin, and B. D. Reljin, “An image retrieval system with user’s relevance feedback”, in Proc. 7th Conf. WIAMIS-2006, pp. 9-12, Seоul, Korea, 19-21, April 2006.

је цитиран:

  1. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).
  2. S. Patidar, R.B. Pachori, N. Garg,”Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals,” Expert Systems with Applications, (In Press, Accepted Manuscript, Available online 4 December 2014)( doi:10.1016/j.eswa.2014.11.046)

Рад:

G. Zajić, I. S. Reljin, and B. D. Reljin, “Video Shot Boundary Detection based on Multifractal Analisys,”, Telfor Journal, Vol. 3, No. 2, 2011, pp.105-110.

је цитиран:

  1. M. Deokar, R. Kabra, “Video Shot Detection Techniques Brief Overview”, International Journal of Engineering Research and General Science, Volume 2, Issue 6, October-November, 2014. (ISSN 2091-2730)
  2. N. Sao, R. Mishra,”Video Shot Boundary Detection using Graph Theory”,CIIT International Journal of Digital Image Processing,6(1), 1-5. (2014) (Print: ISSN 0974 – 9691, Online: ISSN 0974 – 9586)
  3. N. Sao, R. Mishra,“A survey based on Video Shot Boundary Detection techniques,”International Journal of Advanced Research in Computer and Communication Engineering, Vol. 3, Issue 4, pp. 6279-6282, April 2014. (ISSN (Online) : 2278 – 1021, ISSN (Print) : 2319- 5940)
  4. M. Parmar,”MAC-REALM: A video content feature extraction and modelling framework”, PHD thesis, Brunel University, 2013, London, United Kingdom (UK).

Рад:

G. Zajić, N. Kojic and B. Reljin, “Searching image database based on content”, Proceedings of the 19th Telecommunications Forum, Nov. 22-24, IEEE Xplore Press, Belgrade, pp: 1203-1206, 2011., DOI: 10.1109/TELFOR.2011.6143766

је цитиран:

  1. K. Rajakumar, S. Muttan, "Texture Based MRI Image Retrieval Using Curvelet With Statistical Similarity Matching," International Journal of Computer Science Issues (IJCSI), Vol. 10, Issue 2, No 2, March 2013 , (ISSN (Print): 1694-0814 | ISSN (Online): 1694-0784).
  2. Rajakumar and Muttan, “A framework for MRI image retrieval using curvelet transform and euclidean distance,” Journal of Computer Science, 9(3): 285-290, 2013. , DOI : 10.3844/jcssp.2013.285.290

Рад:

S. Čabarkapa, G. Zajić, M. Pavlović, N. Slavković, N. Reljin, M. Kragović, “System for digitalization of medical images based on DICOM standard”, Serbian Journal of Electrical Engineering, vol. 6, iss. 3, pp. 409-418, 2009.

је цитиран:

  1. O. M. Olaniyi, O. Adebayo, R. Jane. "Development of an Electronic Medical Image Archiving System for Health Care in Nigeria." International Journal of Computer and Information Technology (IJCIT), vol. 2, iss. 4, Paper 020425. (http://ijcit.com/archives/volume2/issue4/Paper020425.pdf)
  2. A. Sagi, A. Sabo, B. Kuljic, and T. Szakall. "Challenges of implementation of intelligent information systems in transforming the healthcare system in the Republic of Serbia." In Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on, pp. 289-292. IEEE, 2012.

Рад:

G. Zajić, N. Kojić, N.Reljin, B. Reljin, “Experiment with Reduced Feature Vector in CBIR System with Relevance Feedback”, The 5th International Conference on Visual Information Engineering, VIE'08, July 29- August 1, Xi'an, China, 2008.

је цитиран:

  1. M. Yasmin, S. Mohsin, M. Sharif, “Intelligent Image Retrieval Techniques: A Survey”, Journal of Applied Research and Technology, Centre of Applied Sciences and Technological Development of the National Autonomous University of Mexico, Vol. 12, No. 1, pp. 87-103, 2014.
  2. IG Olaizola, M Quartulli, J Florez, B Sierra,, "Trace Transform Based Method for Color Image Domain Identification," Multimedia, IEEE Transactions on , vol.PP, no.99, pp.1,1 (doi: 10.1109/TMM.2014.2300843)
  3. IG Olaizola, M Quartulli, J Florez, B Sierra, . "Trace transform based method for color image domain identification." arXiv preprint arXiv:1208.3901 (2012).

Рад:

S. Čabarkapa, N. Kojić, V. Radosavljević, G. Zajić i B.Reljin, „Adaptive content-based image retrieval with relevance feedback“, Conf. EUROCON-2005, Belgrade, Nov. 21-24, 2005.

је цитиран:

  1. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).
  2. S. Gopalakrishnan, P. Aruna,”Retrieval of Images Based on Low Level Features Using Genetic Algorithm,” International Journal of Science, Engineering and Technology Research (IJSETR), Volume 3, Issue 2, pp. 221-228, February 2014.
  3. Chen Changjiang. The Research on Algorithms of Relevance Feedback Combining Bayesian and SVM in Image Retrieval. Master thesis, Southwest Jiaotong University, May 2012, Chengdu, Sichuan, PR China. (DOI:CNKI:CDMD:2.1012.390300)
  4. M. A. N. Al-Azawi, “Neural Network Based Automatic Traffic Signs Recognition,” International Journal of Digital Information and Wireless Communications (IJDIWC), Vol. 4, No. 1. (2012).
  5. N. Reljin, D. Pokrajac, "Classification of performers using support vector machines", in Proc. Conf. NEUREL 2008, pp. 165 – 169, Belgrade, September 25-27, 2008
  6. V. Djordjević, N. Reljin, I. Reljin, "Identifying and retrieving of audio sequences by using wavelet descriptors and neural network with user's assistance", in Proc. EUROCON-2005, Vol. 1, pp. 167-170, Belgrade, 21-24 November, 2005.

Рад:

S. Rudinac, M. Rudinac, G. Zajic, N. Kojić, V. Radosavljević, N. Reljin, I. Reljin, "Retrieving of Images With Desidered Object Using CBIR System", in Proc. Conf. TELFOR 2006, Beograd, November 21-23, 2006.

је цитиран:

  1. Robert Ciganjik. Flash Implementation of CBIR System Based on Query by Example. Master’s thesis, Faculty of Technical Sciences, University of NoviSad, Serbia, 2008.

Рад:

N. Kojić, S. Čabarkapa, G. Zajić, B. Reljin "Implementation of neural network in CBIR systems with relevance feedback", Journal of Automatic Control, Vol 16, pp. 41-45, 2006., Conf. EUROCON-2005, Belgrade, Nov. 21-24, 2005.

је цитиран:

  1. N. L. Kumar, D. R. Vinay,”Acquisition of Images using Neural Network”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), 3(5), May 2015, (ISSN: 2321-8169, ISSN: 2508-2512)
  2. R. A. Shaikh, J.-P. Li, A. Khan, ”Primitive Integration for Content based Image Retrieval”, International Journal of Computer Applications, 113(5):14-17, March 2015.
  3. R. A. Shaikh, D. Samundra, L. Jian-Ping, K. Kumar, A. Khan, I. Memon. "Contemporary integration of content based image retrieval." In Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2014 11th International Computer Conference on, pp. 301-304. IEEE, 2014.
  4. T. Boomilingam, M. Subramaniam,” Review on CBIR Trends and Techniques to Upgrade Image Retrieval”, Journal International Review on Computers and Softwear (IRECOS), Vol 9, No 7 (2014). (2014). (ISSN: 1828-6003)
  5. S. Khokhar, K. S. Mann, “A Retrospective Framework for Medical CBIR System.” International Journal of Electronics, Communication & Instrumentation Engineering Research and Development (IJECIERD), Vol. 4, Issue 5, pp. 17-28, , October 2014.
  6. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).
  7. Dr. (Mrs) Ananthi Sheshasaayee , Jasmine.C . "Relevance Feedback Techniques Implemented inCBIR: Current Trends and Issues", International Journal of Engineering Trends and Technology (IJETT), V10(4),166-175 April 2014. ISSN:2231-5381.
  8. D. Braun, "Ein Verfahren zur Beschleunigung eines neuronalen Netzes für die Verwendung im Image Retrieval", Proceedings of 25th GI-Workshop on Foundations of Databases, May, 2013.
  9. A. Surywanshi,”Implementation of Feedback Based Face Classifier for Content Based Face Retrieval System”, (http://ijltet.org/wp-content/uploads/2013/01/Implementation-of-Feedback-...)
  10. M. A. N. Al-Azawi, “Neural Network Based Automatic Traffic Signs Recognition,” International Journal of Digital Information and Wireless Communications (IJDIWC), Vol. 4, No. 1. (2012).

Рад:

G. Zajić, N. Kojić, V. Radosavljević, M. Rudinac, S. Rudinac, N. Reljin, I. Reljin, B. Reljin,“Accelerating of Image Retrieval in CBIR System with Relevance Feedback”, EURASIP Journal of Signal Processing, Spec. Issue on Knowledge Assisted Media Analysis for Interactive Multimedia Applications, Volume 2007 (2007), Article ID 62678, 13 pages.

је цитиран:

  1. Baokun Hu, “Research on Relevance Feedback and Long-term Learning in Content Based 3D Model Retrieval,” PhD thesis State Key Laboratory of CAD&CG, Zhejiang University, PR China, July 2011.
  2. C. G. Reddy, GR Babu, PVD Somasekhar, "Content Based Image Retrieval Using 2DPCA", International Journal of Applied Engineering Research ISSN 0973-4562 Volume 5 Number 2 (2010), pp. 195–204, India, 2010.
  3. A. T. Vahitov, “Adaptive Fusion of Image Search Results Based on Content,” Scientific Journal Stochastic Optimisation in Informatics, Saint Petersburg State University, Vol. 3, 2007, pp 97-107. (Baxumoe А. Т. “Адаптивное слияние результатов поиска изображений по содержанию,” Научный журнал "Стохастическая оптимизация в информатике", Санкт-Петербургский государственный университет, 2007. Вып. 3. С. 97-107.)

Рад:

Stevan Rudinac, Goran Zajić, Marija Ušćumlic, Maja Rudinac, Branimir Reljin, "Comparison of CBIR Systems with Different Number of Feature Vector Components" SMAP, London, United Kingdom, December 17-18, 2007.

је цитиран:

  1. Gaba, I., S. P. Ahuja, “Gait analysis for identification by using BPNN with LDA and MDA techniques. In MOOC, Innovation and Technology in Education (MITE), 2014 IEEE International Conference on (pp. 122-127), December, 2014.
  2. M. Yasmin, S. Mohsin, M. Sharif, “Intelligent Image Retrieval Techniques: A Survey”, Journal of Applied Research and Technology, Centre of Applied Sciences and Technological Development of the National Autonomous University of Mexico, Vol. 12, No. 1, pp. 87-103, 2014.
  3. M. S. Indu, S. S. Ajeesh,”Feature Extracton Technique On CBIR – A Review,” International journal of Computer Engineering & Technology (IJCET), 4(4), 467 – 474, 2013. (ISSN 0976 – 6367(Print), ISSN 0976 – 6375(Online) ).
  4. M. B. Islam, B. Kaliyaperumal,”A Comparison of Feature and Multi Feature-based Intelligent Image Retrieval Techniques,” Proceedings of the Global Engineering, Science and Technology Conference 2012, 28-29 December, 2012, Dhaka, Bangladesh.
  5. K. Kumar, Y. Nimmagadda, Y-H Lu,” Energy Conservation for Image Retrieval on Mobile Systems,” ACM Trans. Embedded Comput. Syst. 11(3): 66 (2012).
  6. S. Chaudhari, R. Chilveri, A. Nanda, R. Borse, “Efficient Implementation of CBIR System and Framework of Fuzzy Semantics,” in Proc. of Intern. Conf. on Advances in Mobile Network, Communication and its Applications (MNCAPPS) 2012, 1-2 Aug. 2012, Bangalor, India.
  7. A. Nanda, S.K. Chaudhari, R.K. Chilveri,’’ Performance Evaluation of CBIR System Employing Weighted Integration of features and Relevance Feedback,’’ Proceedings of National Conference on Machine Vision and Image Processing (MVIP 2011), 7-9 December 2011, Pune, India.
  8. K. Kumar,”Application-based energy efficiency on mobile and server computing,” PHD thesis, Purdue University, August 2011, West Lafayette, Indiana,USA.
  9. L., Feng, A.B. Ray,” A comparative study on the local-pyramid approach for content-based image retrieval,” Proceedings of IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, pp. 105 - 110, 16-17 June 2011, Ithaca, NY, USA
  10. P. Bermejo López,” Preprocessing algorithmus oriented towards supervised classification of high dimensionality databases: applications to multimedia data mining,” PHD thesis, University Castilla-La Mancha, April 2010, Castilla-La Mancha, Spain.
  11. B. Xiao-jun, P. Tie-wen,” Memetic Algorithm based on Content-Based Retrieval,“ CNKI Journal Microcomputer Information, (2010), issue 29, pp. 25-27. (ISSN: 1008-0570),( http://en.cnki.com.cn/Article_en/CJFDTOTAL-WJSJ201029012.htm)
  12. P. Tie-wen,” Memetic Algorithm based on Content-Based Retrieval,“ Master Thesis, Harbin Engineering University, 2010, Harbin, HLJ, P.R.China.
  13. T. D. Joshi,V. K. Kolhe,A. B. Kore, “Implementation of common CBIR techniques”, A National conference on pervasive computing, Dept. of Electronics & Telecommunication, Sinhgad college of Engineering, , 9-10 April 2010, Pune, Maharahtra, India.
  14. Li Yu. Image-based math retrieval using handwritten queries. Master’s thesis, Rochester Institute of Technology, Rochester, NY, 2010.
  15. F Hopfgartner, T Urruty, PB Lopez, R Villa, JM Jose, “Simulated evaluation of faceted browsing based on feature selection”, Journal Multimedia Tools and Applications, Springer Netherlands, 2009.
  16. Y.-J. Hong, K. Kumar, and Y.-H. Lu, “Energy Efficient Content-based Image Retrieval for Mobile Systems,” Proc. of IEEE International Symposium on Circuits and Systems, Taipei, Taiwan, pp. 1673–1676, 24-27 May, 2009.
  17. K. Kumar,” Energy Conservation for Content-based Image Retrieval on Mobile Devices,” Master thesis, Purdue University, july 2008, West Lafayette, Indiana,USA.
  18. K. Kumar, Y. Nimmagadda, Y.J. Hong, Y.H. Lu, “Energy conservation by adaptive feature loading for mobile content-based image retrieval”, Proceeding of the 13th international symposium on Low power electronics and design, Pages: 153-158, Bangalore, India, 2008.
  19. I. Case, “Content Based Image Retrieval Feature Vector Selection,” research paper, Computer Science department, B. Thomas Golisano College of Computing and Information Science, Rochester Institute of Technology, NY,USA, November 7, 2008.

Рад:

Stevan Rudinac, Marija Ušćumlić, Maja Rudinac, Goran Zajić, Branimir Reljin, “Global image search vs. regional search in CBIR systems ”, in Proc. Conf. WIAMIS 2007, June 2007, Santorini, Greece.

је цитиран:

  1. E. Mejri, “Sélection automatique de zoom en recherche d'images”, Master Thesis, Université du Québec à Trois-Rivières, Octobre 2014, Trois-Rivières, Québec, Canada.
  2. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).
  3. M. Kyan, P. Muneesawang, K. Jarrah, L. Guan. Unsupervised Learning via Self-Organization:A Dynamic Approach. Wiley-IEEE Press, IEEE series on computational intelligence, John Wiley & Sons Inc., 2014. (Print ISBN: 9780470278338, Online ISBN: 9781118875568, DOI: 10.1002/9781118875568).
  4. M. B. Islam, K. Kundu, A. Ahmed,”Texture Feature based Image Retrieval Algorithms,” International Journal of Engineering and Technical Research (IJETR), Volume – 2 , Issue – 4, April 201 4. (ISSN: 2321-0869)
  5. M. B. Islam, B. Kaliyaperumal, “Feature-based Intelligent Image Retrieval Algorithms: A Comparison,” Global Science and Technology Journal, Vol. 1, Issue No. 1, Pp.23 - 40, July 2013.
  6. P. D. Pardhi, P. L. Paikrao, D. S. Chaudhari, “Target Search Techniques for Content-Based Image Retrieval Systems,” International Journal of Engineering and Innovative Technology (IJEIT), Volume 1, Issue 6, June 2012.
  7. V. Palma,” Distributed Coding of 3D Video Sources”, PhD Thesis, University “Roma Tre” of Rome, Italy, 2011.
  8. P. D. Pardhi, P. L. Paikrao, D. S. Chaudhari,”Introduction to Query Techniques for Large CBIR Systems,” International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-2, Issue-1, March 2012.
  9. M. J. Hsiao,” A General and Effective Two-Stage Approach for Region-Based Image Retrieval,” PHD thesis, Tatung University, July 2011, Zhongshan District, Taipei, Taiwan.
  10. L., Feng, A.B. Ray,” A comparative study on the local-pyramid approach for content-based image retrieval,” Proceedings of IEEE 10th IVMSP Workshop: Perception and Visual Signal Analysis, pp. 105 - 110, 16-17 June 2011, Ithaca, NY, USA.
  11. U. Park, R. Jillela, A. Ross, and A. K. Jain, “Periocular Biometrics in the Visible Spectrum,” IEEE Trans. on Information Forensics and Security, Volume:6 Issue:1, pp. 96 – 106, March 2011.
  12. A. Neri, M. Carli, V. Palma and L. Constantini, "Image search based on quadtree Zernike decomposition", J. Electron. Imaging 19, 043023 (Dec 30, 2010); doi:10.1117/1.3524827.
  13. A. Neri, "Circular Harmonic Functions: A unifying mathematical framework for image restoration, enhancement, indexing, retrieval and recognition", Visual Information Processing (EUVIP), 2010 2nd European Workshop on, , pp. 269 – 276, 5-6 July 2010, Paris, France.
  14. M.-J. Hsiao, Y.-P. Huang, T. Tsai, T.-W. Chiang, “An Efficient and Flexible Matching Strategy for Content-based Image Retrieval,” Life Science Journal, vol. 7, no. 1, pp.99-106, March 15, 2010. (SCIE) (ISSN: 1097-8135).
  15. M.-J. Hsiao, T. Tsai, T.-W. Chiang, and Y.-P. Huang, “Image Retrieval Using Efficient Region-based Matching,” Proc. of National Computer Symposium, Taipei, Taiwan, pp. 83-91, Nov. 27-28, 2009.
  16. U. Park, A. Ross, A.K. Jain, “Periocular biometrics in the visible spectrum: A feasibility study”, in Proc. IEEE Int. Conf. on Biometrics: Theory, Applications, and Systems, pages 1–6, Sept 2009.
  17. A. P. Birtles, D. W. Trepess, A. I. Wacey. "A method and apparatus for analysing a plurality of stored images." European Patent Application 20080253017, filed September 12, 2008.

Рад:

Q. Zhang, K. Chandramouli, U. Damnjanovic, T. Piatrik, E. Izquierdo, M. Corvaglia, N. Adami, R. Leonardi, G. Yakin, S. Aksoy, U. Naci, A. Hanjalic, S. Vrochidis, A. Moumtzidou, S. Nikolopoulos, V. Mezaris, L. Makris, I. Kompatsiaris, E. Esen, A. Alatan, E. Spyrou, P. Kapsalas, G. Tolias, P. Mylonas, Y. Avrithis, B. Reljin, G. Zajic, R. Jarina, M. Kuba, N. Aginamo, J. Goya, B. Mansencal, J. Benois-Pineau, A.M.G. Pinheiro, L.A. Alexandre, P. Almeida,“The COST292 experimental framework for TRECVID 2007”, NIST, TRECVID, 2007 (E. Spyrou, P. Kapsalas, G. Tolias, Ph. Mylonas Y. Avrithis et al., "The COST292 experimental framework for TRECVID 2007", 5th TRECVID Workshop, Gaithersburg, USA, November 2007.)

је цитиран:

  1. C. Petersohn,”Temporal Video Segmentation”, Jorg Vogt Verlag, Dresden 2010.
  2. X. S. Hua , G. J. Qi, “Online Multi-Label Active Learning for Large-Scale Multimedia Annotation”, http://research.microsoft.com/, 2008.
  3. K Yamasaki, K Shinoda, S Furui, "Automatically estimating number of scenes for rushes summarization." In the Proceedings of the 2nd ACM TRECVid Video Summarization Workshop, October 31, Vancouver (BC), Canada, pp. 129-133, 2008 ACM, 2008.
  4. X. S. Hua , G. J. Qi, “Online multi-label active annotation: towards large-scale content-based video search”, Proceeding of the 16th ACM international conference on Multimedia, October 26-31, 2008, Vancouver, British Columbia, Canada, pp. 141-150, 2008 [doi>10.1145/1459359.1459379]
  5. E Ardizzone, M La Cascia, F Vella, "Unsupervised clustering in personal photo collections," In the AMR'08 Proceedings of the 6th international conference on Adaptive Multimedia Retrieval: identifying, Summarizing, and Recommending Image and Music, 26-27 June, Berlin, Germany, pp. 140-154 , 2008.

Рад:

M. Janković, G. Zajić, V. Radosavljević, N. Kojić, N. Reljin, M. Rudinac, S. Rudinac, B. Reljin, “Minor component analysis (MCA) applied to image classification in CBIR system” , in Proc. 8th Sem.NEUREL-2006, pp. 11-16, Beograd, Sept. 25-27, 2006.

је цитиран:

  1. Jun Ding,” Study on Bias Factors Filtering for NMR-based Metabolomics,” Master Thesis, Xiamen University, November 2012, Xiamen, Fujian Province, P. R. China.
  2. P. D. Pardhi, P. L. Paikrao, D. S. Chaudhari,”Introduction to Query Techniques for Large CBIR Systems,” International Journal of Soft Computing and Engineering (IJSCE), ISSN: 2231-2307, Volume-2, Issue-1, March 2012.
  3. V. Yunita, Y. Herdiyeni, “Klasifikasi Citra Menggunakan Metode Minor Component Analysis pada Sistem Temu Kembali Citra,” Jurnal Ilmiah Ilmu Komputer, (IPB, Bogor Agricultural University, Indonesia), Vol 8, No 2, 2010.
  4. I. Juniawan, “Text Document Classification with Minor Component Analysis,” UT - Computer Science, (IPB, Bogor Agricultural University, Indonesia), 2009, http://repository.ipb.ac.id/handle/123456789/13007

Рад:

V. Radosavljević, N. Kojić, G. Zajić, B. Reljin, “The Use of Unlabeled Data in Image Retrieval with Relevance Feedback”, in Proc. 9th Sem.NEUREL-2008, pp. 21-26, Beograd, Sept. 25-27, 2008.

је цитиран:

  1. W Huang, T Qin, Z Tang, "Semantic-based image retrieval algorithm using fuzzy support vector machine." Application Research of Computers 5 (2011): 1987-1990 (113). (Doi: 10.3969/j.issn. 1001-3695.2011.05.0112)
  2. C. Grana, D. Borghesani, R. Cucchiara,” Relevance feedback strategies for artistic image collections tagging,” Proceedings of the 1st ACM International Conference on Multimedia Retrieval ICMR ’11, April 17-20, Trento, Italy, 2011.
  3. D. Borghesani, D. Coppi, C. Grana, S. Calderara, R. Cucchiara, “Feature Space Warping Relevance Feedback with Transductive Learning,” Advances Concepts for Intelligent Vision Systems, Lecture Notes in Computer Science, 2011, Volume 6915/2011, 70-81, SpringerLink Berlin, Germany , Springer,
  4. D. Borghesani,” Content retrieval and innovative interaction for artistic image collections,” PHD thesis, University of Modena and Reggio Emilia, January 2011, Modena, Italy.