A Literature Study On Video Retrieval Approaches



A detailed survey has been carried out to identify the various research articles available in the literature in all the categories of video retrieval and to do the analysis of the major contributions and their advantages, following are the literature used for the assessment of the state-of-art work on video retrieval. Here, a large number of papershave been studied.


Video Retrieval; Analysis; Assessment; Content-Based


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.

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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.

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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.

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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).

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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.

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