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Survey on Different Techniques on Video Annotations

IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 4
Year of Publication: 2012
Archana V Potnurwar

Archana V Potnurwar. Article: Survey on Different Techniques on Video Annotations. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(4):7-11, May 2012. Full text available. BibTeX

	author = {Archana V Potnurwar},
	title = {Article: Survey on Different Techniques on Video Annotations},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {4},
	pages = {7-11},
	month = {May},
	note = {Full text available}


The insufficiency of labeled training data for representing the distribution of the entire dataset is a major obstacle in automatic semantic annotation of large-scale video database. Semi-supervised learning algorithms, which attempt to learn from both labeled and unlabeled data, are promising to solve this problem. In this paper, retrieving videos using key words requires obtaining the semantic features of the videos. Most work reported in the literature focuses on annotating a video shot with a fixed number of key words, no matter how much information is contained in the video shot.


  • Amjad Altadmri and Amr Ahmed "Automatic Semantic Video Annotation in Wide Domain Videos Based on Similarity and Commonsense Knowledgebase's ,"in IEEE International Conference on Signal and Image Processing Applications ,2009.
  • M. L. Shyu, Z. Xie, M. Chen, and S. C. Chen, "Video semantic event/concept detection using a subspace-based multimedia data mining framework," IEEE Transactions on Multimedia, vol. 10, no. 2, pp. 252–259, 2008.
  • N. Haering, R. J. Qian, and M. I. Sezan, "A semantic event-detection approach and its application to detecting hunts in wildlife video," IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, no. 6, pp. 857–868, 2000
  • ChengZhi Xu, HuiChuan Wu1, Bo Xiao1, Philip C-Y Sheu1, Shu-Ching Chen," A Hierarchical Video Annotation System".
  • Shih-Wei Suna, Yu-Chiang Frank Wanga, Yao-Ling Hung "AUTOMATIC ANNOTATION OF WEB VIDEOS" a Institute of Information Science and Research Center for Information Technology InnovationAcademia Sinica, Taipei, Taiwan
  • Yu-Gang Jiang,Jun Wang, Shih-Fu Changand Chong-Wah Ngo ,"Domain Adaptive Semantic Diffusion for Large ScaleContext-Based Video Annotation",by ieee ICCV sept29-oct 2,2009
  • Vincenzo Lombardo & Rossana Damiano "An intelligent tool for narrative-based video annotation and editing", in 2010 International Conference on Complex, Intelligent and Software Intensive Systems
  • Meng Wang, Xian-Sheng Hua Jinhui Tang and Richang Hong "Beyond Distance Measurement: Constructing Neighborhood Similarity for Video Annotation" IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 11, NO. 3, APRIL 2009 465.
  • Jenny Yuen, Bryan Russell& Ce Liu1 Antonio Torralba, " LabelMe video: Building a Video Database with Human Annotations " in International Journal of Research and Reviews in Information Sciences
  • Nida Aslam, Irfanullah, Kok-Keong Loo, Roohullah,"Growing Trend from Uni-to-Multimodal Video Indexing ", in nternational Journal of Digital Content Technology and its Applications Volume 3, Number 2, June 2009
  • Khasfariyati Razikin, Dion Hoe-Lian Goh, Ee-Peng Lim, Aixin Sun, Yin-Leng Theng, Thi Nhu QuynhKim, Kalyani Chatterjea, Chew-Hung Chang, "Managing Media Rich Geo-spatial Annotations for a map-based Mobile Application using Clustering"in 2010 IEEE
  • S. Dasiopoulou, E. Giannakidou, G. Litos, P. Malasioti, and I. Kompatsiaris,"A Survey of Semantic Image"
  • Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi , Zhiwei Gu , Xiuqing Wu ,"Beyond Accuracy: Typically Ranking For Video Annotation " ICME 2007 IEEE
  • Emily Moxley, Tao Mei, and B. S. Manjunath Video Annotation Through Search and Graph Reinforcement Mining,", ieee transactions on multimedia, vol. 12, no. 3, april 2010
  • Matthew Butler, Tim Zapart, and Raymond Li," Video Annotation – Improving Assessment of Transient Educational Events", in Proceedings of the 2006 Informing Science and IT Education Joint Conference Salford, UK – June 25-28.
  • T. Sumathi1, C. Lakshmi Devasena2, and M Hemalath "An Overview of Automated Image Annotation Approaches"International Journal of Research and Reviews Information Sciences Vol. 1, No. 1, March 2011
  • Guo-Jun Qi , Xian-Sheng Hua, Yan Song , Jinhui Tang, Hong-Jiang Zhang,"Transductive Inference with Hierarchical Clustering for Video Annotation",IEEE ICME 2007
  • Helmut Neuschmied " MPEG-7 Video Annotation Tool" ,inProceedings of I-MEDIA '07 and I-SEMANTICS '07Graz, Austria, September 5-7, 2007
  • Mario Cordeiro, Cristina Ribeiro ,"Reuse Of Video Annotations Based On Low-level Descriptor Similarity", 2009 ieee.
  • Pector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender Video Annotation Tools"decisions", Journal of Systems and Software, 2005, in press.