A Study On Information Retrieval Systems

PADMAKALA S

Abstract


A video is a key component of today's multimedia applications,  including Video Cassette Recording (VCR), Video-on-Demand (VoD), and virtual walkthrough. This happens supplementary with the fast amplification in video skill (Rynson W.H. Lau et al. 2000). Owing to innovation's progress in the  media, computerized TV, and data frameworks, an immense measure of video information is now exhaustively realistic (Walid G. Aref et al. 2003). The startling advancement in computerized video content has made entrée and moves the data in a tremendous video database a muddled and sensible issue (Chih-Wen Su et al. 2005). Therefore, the necessity for creating devices and frameworks that can effectively investigate the most needed video content, has evoked a great deal of interest among analysts. Sports video has been chosen as the prime application in this proposition since it has attracted viewers around the world.


Keywords


Information retrieval; Analysis; Assessment; Content-based

References


Abdelati Malek Amel, Ben Abdelali Abdessalem & Mtibaa Abdellatif 2010, ‘Video shot boundary detection using motion activity descriptor’, Journal of Telecommunications, vol. 2, no. 1.

Abinaya Sambat Kumar & Nirmala A 2015, ‘A Survey on Multimodal Techniques in Visual Content Based Video Retrieval’, International Journal of Advanced Research in Computer Science and Software Engineering, vol. 5, no. 1.

Alberto Del Bimbo & Marco Bertini 2007, ‘Multimedia Ontology Based Computational Framework for Video Annotation and Retrieval’, Springer-Verlag Berlin Heidelberg.

Anastasios D Doulamis, Nikolaos D Doulamis & Stefanos D Kollias 2000, ‘A fuzzy video content representation for video summarization and content-based retrieval’, Journal of Signal Processing, vol. 80, no. 6, pp. 1049-1067.

Archana V Potnurwar & Mohammad Atique 2014, ‘Visual Attention Key Frame Extraction for Video Annotations’, International Journal of Computer Science Engineering, vol. 3, no.1.

Aree A Mohammed 2008, ‘Region-Based Segmentation of Generic Video Scenes Indexing’, Proceedings of World Academy of Science, Engineering and Technology, vol. 32.

Arevalillo-Herrez M, Ferri FJ & Domingo J 2010, ‘A naive relevance feedback model for content-based image retrieval using multiple similarity measures, Pattern Recognition, vol. 43, pp. 619-629.

Babaguchi N, Ishida T & Morisawa K 2004, ‘Scene retrieval with sign sequence matching based on video and audio features’, IEEE International Conference, vol. 2.

Babaguchi N, Kawai Y & Kitahashi T 2002, ‘Event based indexing of broadcasted sports video by intermodal collaboration’, Multimedia, IEEE Transactions, vol. 4, pp. 68-75.

Bae-Muu Chang, Hung-Hsu Tsai & Wen-Ling Chou 2013, ‘Using visual features to design a content-based image retrieval method optimized by particle swarm optimization algorithm’, Engineering Applications of Artificial Intelligence, vol. 26, pp. 2372-2382.

Bharat K & Henzinger M 1998, ‘Improved algorithms for topic distillation in hyperlinked environments’, Proceedings of ACM-SIGIR’98, Melbourne, pp. 104-111.

Bole R, Yeo B & Yeung M 1998, ‘Video query: research directions’, IBM Journal of Research and Development, vol. 42, no. 2, pp. 233-252.

Brin S & Page L 1998, ‘The anatomy of a large-scale hyper textual Web search engine’, Proceedings of WWW7, Brisbane, pp. 107-117

Changsheng Xu 2008, ‘Using Webcast Text for Semantic Event Detection in Broadcast Sports Video’, IEEE Transactions on Multimedia, vol. 10, no. 7, pp. 1342-1355.

Chasanis V, Likas A & Galatsanos N 2007, ‘Scene detection in videos using shot clustering and symbolic sequence segmentation’, in IEEE Workshop on Multimedia Signal Processing.

Che-Yen Wen, Liang-Fan Chang & Hung-Hsin Li 2007, ‘Content based Video Retrieval with Motion Vectors and the RGB Color Model’, Forensic Science Journal, vol. 6, no. 2, pp. 1-36.

Chih-Chin Lai & Ying-Chuan Chen 2011, ‘A User-Oriented Image Retrieval System Based on Interactive Genetic Algorithm’, IEEE Trans on Instrumentation and Measurement, vol. 60, no. 10.

Chih-Wen Su, Hong-Yuan Mark Liao & Kuo-Chin Fan 2005, ‘A Motion-Flow-Based Fast Video Retrieval System’, 7th ACM SIGMM international workshop on Multimedia Information retrieval.

Chinmaya Misra & Shamik Sural 2006, ‘Content Based Image and Video Retrieval Using Embedded Text’, Lecture Notes in Computer Science, vol. 3852, pp. 111-120.

Choi KC, Ko YM, Cheon GY, Kim HI, Shin SY & Rhee YW 2006, ‘Video shot boundary detection algorithm’, Computer. Vis., Graph. Image Process, Lect. Notes Computer Sci., vol. 4338, pp. 388-396.

Dagtas S, Al-Khatib W, Ghafoor A & Kashyap R 2000, ‘Models for motion-based video indexing and retrieval’, IEEE Transactions on Image Processing, vol. 9, no. 1, pp. 88-101.

Deepali Bhawarthi & Shriniwas Gadage 2012, ‘Enriching Feature Extraction for Cricket Video Event Detection’, International Journal of Engineering Research and Technology (IJERT), vol. 1, no. 7.

Di Zhong & Shih-Fu Chang 2004, ‘Real-time view recognition and event detection for sports video’, Journal of Visual Communication and Image Representation, vol. 15, no. 3, pp. 330-347.

Dimitrova Rui, Sethi K & Rahman SM (ed) Idea group publishing.

Drelie Gelasca E & Ebrahimi T 2009, ‘On Evaluating Video Object Segmentation Quality: A Perceptually Driven Objective Metric’, IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 2, pp. 319-335.

Dubravko Culibrk, Oge Marques, Daniel Socek, Hari Kalva & Borko Furht 2007, ‘Neural Network Approach to Background Modeling for Video Object Segmentation’, IEEE Transactions on Neural Networks, pp. 1614-1627.

Dyana A & Das S 2010, ‘MST-CSS (Multi-Spectrum-Temporal Curvature Scale Space), a Novel Spatio-Temporal Representation for Content-Based Video Retrieval’, IEEE Transactions on Circuits and Systems for Video Technology, vol. 20, no. 8, pp. 1080-1094.

Ekin A & Tekalp M 2003, ‘Automatic Soccer Video Analysis and Summarization’, EEE Transaction on Image Processing, vol. 12, pp. 796- 807.

Ganesh I Rathod & Dipali A Nikam 2014, ‘Review on Event Retrieval in Soccer Video’, International Journal of Computer Science and Information Technologies, vol. 5, no. 4, pp. 5601-5605.

Geetha P & Vasumathi Narayanan 2008, ‘A Survey of Content-Based Video Retrieval’, Journal of Computer Science, vol. 4, no. 6, pp. 474-486.

Gijesh Varghese & Zhou Wang 2010, Video Denoising Based on a Spatiotemporal Gaussian Scale Mixture Model’, IEEE transactions on circuits and systems for video technology, vol. 20, no. 7.

Gordon M & Pathak P 1999, ‘Finding information on the World Wide Web: the retrieval effectiveness of search engines’, Information Processing & Management, vol. 35, no. 2, pp. 141-180.

Guozhu Liu & Junming Zhao 2009, ‘Key Frame Extraction from MPEG Video Stream’, Proceedings of the Second Symposium International Computer Science and Computational Technology, pp. 007-011.

Hanjalic A 2002, ‘Shot-boundary detection: unraveled and resolved’, IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2, pp. 90-105.

Haojin Yang & Meinel C 2014, ‘Content Based Lecture Video Retrieval Using Speech and Video Text Information’, IEEE Transactions on Learning Technologies, vol. 7, no. 2, pp. 142-154

Heng WJ & Ngan 2002, ‘Shot boundary refinement for long transition in digital video sequence’, Multimedia, IEEE Transactions, vol. 4,

pp. 434-445.

Huang-Chia Shih & Chung-Lin Huang 2005, ‘Content-based multi-functional video retrieval system’, International Conference on Consumer Electronics.

Ionuţ Mironica, Bogdan Ionescu, Jasper Uijlings & Nicu Sebe 2016, ‘Fisher Kernel Temporal Variation-based Relevance Feedback for video retrieval’, Journal of Computer Vision and Image Understanding, vol. 143, pp. 38-51.

Jaesik Choi, Ziyu Wang, Sang-Chul Lee & Won J. Jeon 2013, ‘A spatio-temporal pyramid matching for video retrieval’, Journal of Computer Vision and Image Understanding, vol. 117, no. 6, pp. 660-669.

Ja-Hwung Su, Yu-Ting Huang, Hsin-Ho Yeh & Vincent S Tseng 2010, ‘Effective content-based video retrieval using pattern-indexing and matching techniques’, Journal of Expert Systems with Applications, vol. 37, no. 7, pp. 5068-5085.

Jordi Pont-Tuset, Miquel A Farre & Aljoscha Smolic 2015, ‘Semi-Automatic Video Object Segmentation by Advanced Manipulation of Segmentation Hierarchies’, International Workshop on Content-Based Multimedia Indexing.

Jun Wei Hsieh, Shang-Li Yu & Yung-Sheng Chen 2006, ‘Motion-based Video Retrieval by Trajectory Matching’, IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, no. 3, pp. 396-409.

Khin Thandar Tint & Kyi Soe 2013, ‘Key Frame Extraction for Video Summarization Using DWT Wavelet Statistics’, International Journal of Advanced Research in Computer Engineering and Technology (IJARCET) vol. 2, no 5.

Kimiaki Shirahama, Kazuyuki Otaka & Kuniaki Uehara 2007, ‘Content-Based Video Retrieval Using Video Ontology’, in proceedings with Ninth IEEE International Symposium on Multimedia Workshops (ISMW 2007), pp. 283-289.

Kin-Wai Sze, Kin-Man Lam & Guoping Qiu 2005, ‘A New Key Frame Representation for Video Segment Retrieval’, IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 9.

Kleinberg J 1998, ‘Authoritative sources in a hyperlinked environment’, Proceedings of 9th ACM-SIAM Symposium on Discrete Algorithms, pp. 668-677

Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik & Karen Egiazarian 2007, ‘Image demonising by sparse 3D transform-domain collaborative filtering’, IEEE Transactions on Image processing, vol. 16, no. 8.

Lakshmi Priya GG & Domnic S 2014, ‘Shot based key frame extraction for ecological video indexing and retrieval’, Journal of Ecological Informatics, vol. 23, pp. 107-117.

Lawrence S & Lee Giles C 1999, ‘Accessibility of information on the Web’, Nature, vol. 400, no. 6740, pp. 107-110.

Lei Xu & Kongqiao Wang 2008, ‘Extracting text Information for Content-based Video Retrieval’, In Proceedings of the 14th International conference on Advances in multimedia modeling, pp. 58-69.

Leighton HV & Srivastava J 1999, ‘First 20 precision among World Wide Web search services (search engines)’, Journal of the American Society for Information Science, vol. 50, no. 1, pp. 870-881.

Lew M, Sebe N & Gardner P 2001, ‘Video indexing and understanding’, M. Lew (Ed.), Principles of Visual Information Retrieval, Springer, Berlin, pp. 163-196.

Li B & Ibrahim Sezan M 2001, ‘Event detection and summarization in sports video’, Presented at Content-Based Access of Image and Video Libraries, IEEE Workshop on, Sharp Labs of America, Camas, WA, USA.

Lili NA 2009, ‘Hidden Markov Model for Content-Based Video Retrieval’, In proceedings ofThird Asia International Conference (AMS '09), vol. 25, pp. 353-358.

Liu GH, Li ZY, Zhang L & Xu Y 2011, Image retrieval based on microstructure descriptor, Pattern Recognition, vol. 44, pp. 2123-2133.

Liu Huayong 2004, ‘Content-Based TV Sports Video Retrieval Based on Audio-Visual Features and Text Information’, IEEE/WIC/ACM International Conference.

Liya Thomas & Syama 2014, ‘Ontology Based Video Annotation and Retrieval System’, International Journal of Emerging Technology and Advanced Engineering, vol. 4, no. 7.

Lu ZM & Shi Y 2013, ‘Fast Video Shot Boundary Detection Based on SVD and Pattern Matching’, IEEE Transactions on Image Processing, vol. 22, no. 12.

Luan H, Zheng Y, Wang M & Chua 2011, ‘Vision Go: Towards video retrieval with joint exploration of human and computer’, Journal of Information Science, vol. 181, no. 19, pp. 4197-4213.

Maheshkumar H Kolekar & Somnath Sengupta 2010, ‘Semantic concept mining in cricket videos for automated highlight generation’, Multimedia Tools Appl, vol. 47, pp. 545-579.

Marchiori M 1997, ‘The quest for correct information on the Web: Hyper search engines’, Proceedings of WWW6, Santa Clara (CA).

Ming Zhao, Jiajun Bu & Chun Chen 2002, ‘Semi-Automatic Video Object Segmentation Basing On Hierarchy Optical Flow’, in SPIE: Electronic Imaging and Multimedia Technology III, vol. 4925, pp. 307-316.

Mohsen Ramezani & Farzin Yaghmaee 2016, ‘A novel video recommendation system based on efficient retrieval of human actions’, journal of Statistical Mechanics and its Applications.

Muneesawang P & Guan L 2003, ‘Automatic relevance feedback for video retrieval’, in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., vol. 3.

Nagarajan G & Minu RI 2015, ‘Fuzzy Ontology Based Multi-Modal Semantic Information Retrieval’, International Conference on Computer, Communication and Convergence, vol. 48, pp. 101-106.

Nandhini S & Shenbagavalli A 2014, ‘Voiced/Unvoiced Detection using Short Term Processing’, International Journal of Computer Applications (0975-8887).

Nepal S, Srinivasan U & Reynolds G 2001, ‘Automatic detection of 'Goal' segments in basketball videos’, presented at ACM International Conference on Multimedia, Ottawa, Canada.

Nicu Sebe, Michael S Lew & Arnold W M Smeulders 2003, ‘Video retrieval and summarization: editorial introduction’, Computer Vision and Image Understanding, vol. 92, no. 2-3, pp. 141-146.

Nishan Singh & Vijay Laxmi 2014, ‘Audio Noise Reduction from Audio Signals and Speech Signals’, International Journal of Computer Science Trends and Technology, vol. 2, no. 5.

Padmakala S & Anandha Mala GS2010, ‘Novel Video Object Segmentation Approach for Noisy Video Sequences towards Effective Video Retrieval’, International Journal of Computer Theory and Engineering, vol. 2, no. 6, pp. 1793-8201.

Padmakala S, Anandha Mala GS& Shalini M 2011, ‘An effective content based video retrieval utilizing texture, color and optimal key frame features’, International Conference on Image Information Processing (ICIIP).

Padmakala S & Anandha Mala GS2012, ‘A Technique to Content-Based Video Retrieval Utilizing Diverse Set of Features’, European Journal of Scientific Research, ISSN 1450-216X, vol. 83, no. 4, pp. 558-575 .

Padmakala S,Muthuchelvi P & Anandha Mala GS 2014, ‘IVRSC: An Interactive and Intelligent Video Retrieval System for Cricket Videos Using Multi-Features’, International Journal of Applied Engineering Research, ISSN 0973-4562, vol. 9, no. 24, pp. 27457-27491.

Padmakala S & Anandha Mala GS2018, ‘Interactive Video Retrieval Using Semantic Level Features and relevant feedback’, International Arab Journal of Information Technology,ISSN 2309-4524, vol. 13, no. 1.

Patel BV & Meshram BB 2007, ‘Retrieving and Summarizing Images from PDF Documents’, International Conference on Soft computing and Intelligent Systems.

Peng Tang & Lin Gao 2008, ‘Video Object Segmentation Based On Graph Cut With Dynamic Shape Prior Constraint’, 19th International Conference on Pattern Recognition (ICPR), pp. 1-4.

Ponceleon D, Srinivasan S, Amir A Petkovic & Diklic 1998, ‘Key to effective video retrieval: Effective cataloguing and browsing’, in IEEE International Workshop on Content-based image and video databases, IEEE Computer Society, pp. 99-107.

Rafal Kapela, Aleksandra Świetlicka, Andrzej Rybarczyk, Krzysztof Kolanowski & Noel E.Connor 2015, ‘Real-time event classification in field sport videos’, Journal of Signal Processing: Image Communication, vol. 35, pp. 35-45.

Ramya S & Rangarajan 2011, ‘Knowledge Based methods for Video Data Retrieval’, International Journal of Computer Science and Information Technology, vol. 3, no. 5, pp. 469-481

Ren W, Singh S, Singh M & Zhu YS 2009, State-of-the-art on spatiotemporal information-based video retrieval, Pattern Recognition, vol. 42, pp. 267-282.

Rooij O & Worring 2013, ‘Active Bucket Categorization for High Recall Video Retrieval’, IEEE Transactions on Multimedia, vol. 15, no. 4.

Rui Y, Gupta A & Acero A 2000, ‘Automatically extracting highlights for TV Baseball programs’, presented at ACM International Conference on Multimedia, Marina Del Rey, California, and United States.

Ryen W White, Ian Ruthven & Joemon M Jose 2005, ‘A Study of Factors Affecting the Utility of Implicit Relevance Feedback’.

Rynson WH Lau, Qing Li & Antonio Si 2000, ‘Video MAP: A Generic Framework for Video Management and Application processing’, 33rd Hawaii International Conference on System Sciences (HICSS), pp. 8044, vol. 8.

Sadlier DA & O'Connor Nebraska 2005, ‘Event detection in field sports video using audio-visual features and a support vector Machine’, IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 10.

Salahuddin A, Naqvi A, Murtaza K & Akhtar J 2012, ‘Content Based Video Retrieval Using Particle Swarm Optimization’, Frontiers of Information Technology (FIT), 2012 10th International Conference, pp. 79-83.

Salton G 1989, ‘Automatic text processing, the transformation, analysis, and retrieval of information by computer’, Addison-Wesley, Reading (MA).

Sankar KP, Pandey S & Jawahar CV 2006, ‘Text Driven Temporal Segmentation of Cricket Videos’, in Proceedings Sixth of Indian Conference on Computer Vision, Graphics and Image Processing, Madurai, India, pp. 433-444.

Schwartz C 1998, ‘Web search engines’, Journal of the American Society for Information Science, vol. 49, no. 11, pp. 973-982.

Sebastien Lefevrea, Jerome Hollera & Nicole Vincenta 2003, ‘A review of real-time segmentation of uncompressed video sequences for content-based search and retrieval’, Real-journal of Time Imaging, vol. 9, no. 1, pp. 73-98.

Seung-Hoon Han, Kuk-Jin Yoon & In So Kweon 2000, ‘A new technique for shot detection and key frames selection in histogram space’ In: 12th Workshop on Image Processing and Image Understanding, pp. 475-479.

Shahraray B 1999, ‘Multimedia information retrieval using pictorial transcripts’, B. Furth (Ed.), Handbook of Multimedia Computing, CRC Press, Boca Raton, FL, pp. 345-359.

Shanmugham TN & Priya Rajendran 2009, ‘An Enhanced Content-Based Video Retrieval System Based on Query Clip’, International Journal of Research and Reviews in Applied Sciences, vol. 1, no. 3.

Shika Gupta & Mohd Suhel 2015, ‘Speech Recognition using MFCC & VQ’, International Journal of Scientific Engineering And Technology Research, vol. 04, no. 01, pp. 0058-0061.

Shweta Ghodeswar & Meshram BB 2010, ‘Content Based Video Retrieval’, Proceeding of International Symposium on Computer Engineering and technology, Mandi Gobindgarh, Punjab.

Simon Jones & Ling Shao 2013, ‘Content-based retrieval of human actions from realistic video databases’, Journal of Information Sciences, vol. 236, 1, pp. 56-65.

Song X & Fan G 2006, ‘Joint Key-Frame Extraction and Object Segmentation for Content-Based Video Analysis’, IEEE Transactions on Circuits and Systems for Video Technology vol. 16, no. 7.

Su CW, Liao HYM, Tyan HR, Lin CW, Chen DY & Fan KC 2007, ‘Motion Flow-Based Video Retrieval’, journal of IEEE Transactions on Multimedia, vol. 9, no. 6, pp. 1193-1201.

Sudhir S Kanade & Pradeep M Patil 2012, ‘Lawn Tennis Video Summarization based on Audiovisual and Text Feature Analysis’, International Journal of Computer Applications, vol. 42, no. 19.

Sun X, Zhao L & Zhang M . 2011, ‘A Novel Shot Boundary Detection Method Based on Genetic Algorithm-Support Vector Machine’, Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference, vol. 1, pp. 144-147.

Teraguchi M, Masumitsu K, Echigo T, Sekiguchi S & Etoh M 2002, ‘Rapid generation of event-based indexes for personalized video digests’, Presented at Pattern Recognition.

The open video project from ‘http://www.open-video.org/.

Thompson R 1998, ‘Grammar of the Shot’, Focal Press.

Tiburzi F Escudero, Bescos M & Martinez 2008, ‘A Ground Truth for Motion-Based Video-Object Segmentation’, 15th IEEE International Conference on Images Processing (ICIP), pp. 17-20.

Torres RDS, Falcao AX, Goncalves MA, Papa JAP, Zhang B, Fan W & Fox EA 2009, ‘A genetic programming framework for content-based image retrieval’, Pattern Recognition, vol. 42, pp. 283-292.

Vijayakumar V & Nedunchezhian R 2012, ‘Event detection in cricket video based on visual and acoustic features’, Journal of Global Research in Computer Science, vol. 3, no. 8.

Walid G Aref, Ann C Catlin, Ahmed K Elmagarmid J Fan, Moustafa A Hammad, Ihab Ilyas, Mirette Marzouk & Thanaa Ghanem 2003, ‘Video Query Processing in the VDBMS Test bed for Video Database Research’, 1st ACM International Workshop on Multimedia Databases, (ACM MMDB), pp. 25-32.

Wattanarachothai W & Patanukhom K 2015, ‘Key frame extraction for text based video retrieval using Maximally Stable Extremal Regions’, Industrial Networks and Intelligent Systems, pp. 29-37.

Wu C, Ma YF, Zhang HJ & Zhong YZ 2002, ‘Events recognition by semantic inference for sports video’, Presented at Multimedia and Expo.

Xiaoming Liu & Tsuhan Chen 2004, ‘Shot Boundary detection using temporal statistics modeling’, Acoustics, Speech, and Signal Processing IEEE International.

Xu Zhang, Bao-Long Guo,Guiyue Zhang & Yunyi Yan 2011, ‘An Image Retrieval Method Based on r/KPSO’, IEEE Second International Conference on Innovations in Bio-inspired Computing and Applications, pp. 69-72, DOI 10.1109/IBICA.2011.22.

Xuemei Wang, Dengyin Zhang, Min Zhu, Yingtian Ji & Jin Wang2015’, Improved Image Denoising Based on 3D Collaborative Filtering’, International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 8, no. 4, pp. 227-236.

Yanqiang Lei, Weiqi Luo, Yuangen Wang & Jiwu Huang 2012, ‘Video Sequence Matching Based on the Invariance of Color Correlation’, IEEE transactions on circuits and systems for video technology, vol. 22, no. 9.

Yimin Wu & Aidong Zhang 2004, ‘Interactive pattern analysis for relevance feedback in multimedia information retrieval’, Springer-Verlag, Multimedia Systems, vol. 10, pp. 41-55.

Yipei Wang, Shourabh Rawat & Florian Metze 2014, ‘Exploring audio semantic concepts for event-based video retrieval’, IEEE International Conference on Acoustics, Speech and Signal Processing.

Yu Meng, Li-Gong Wang & Li-Zeng Mao 2009, ‘A shot boundary detection algorithm based on Particle Swarm Optimization Classifier’, Machine Learning and Cybernetics, 2009 International Conference, vol. 3, pp. 1671-1676.

Zabih R, Miller J & Mai K 1995, ‘A feature based algorithm for detecting and classifying scene breaks’, In Proceedings of the 3rd ACM International Conference on Multimedia, pp. 189-200.

Zeinik-Manor L & Irani M 2001, ‘Event-based analysis of video’, Presented at Computer Vision and Pattern Recognition, Proceedings of the 2001 IEEE Computer Society Conference on, The Weizmann Institute of Science.

Zhang HJ 1999, ‘Content-based video browsing and retrieval’, ‘CRC press LLC.

Zhe Ming Lu & Yong Shi 2013, ‘Fast Video Shot Boundary Detection Based on SVD and Pattern Matching’, Image processing IEEE Transactions, vol. 22, no. 12.

Zhonghua Sun, Jia K & Chen H 2008, ‘Video Key Frame Extraction Based on Spatial-Temporal Color Distribution’, Intelligent Information Hiding and Multimedia Signal Processing, pp. 196-199.

Zimian Li & Ming Zhu 2013, ‘A Light-weight Relevance Feedback Solution for Large Scale Content-Based Video Retrieval’, IJCSI International Journal of Computer Science Issues, vol. 10, no. 1, pp. 3.


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright © 2012 - 2023, All rights reserved.| ijitr.com

Creative Commons License
International Journal of Innovative Technology and Research is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJITR , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.