“Color super-histograms for video representation: preliminary research and findings”
Conference:
Type:
Interest Area:
- Application
Title:
- Color super-histograms for video representation: preliminary research and findings
Session/Category Title: Visualization and Video Analysis
Presenter(s)/Author(s):
Abstract:
A novel method for computing super-histograms to represent video segments. The underlying assumption is that a TV program has a consistent color palette, which can be derived as a family of merged individual-shot histograms.
References:
1. M. Abdel-Mottaleb, N. Dimitrova, R. Desai and J. Martino. CONIVAS: Content-Based Image and Video Access System, Proc. of ACM Multimedia, pp 427-428, Boston 1996.
2. S. Krishnamachari and M. Abdel-Mottaleb. A Scalable Algorithm for Image Retrieval By Color,The Fifth International Conference on Theoretical, Experimental and Applied Image Processing, ICIP-98, Chicago, October 1998.
3. S-F. Chang, W. Chen, H. E. Meng, H. Sundaram and D. Zong. VideoQ: An Automated Content- based Video Search System Using Visual Cues, Proc. ACM Multimedia, pp. 313-324, Seattle, 1994.
4. M. Christel,T. Kanade, M. Mauldin, R. Reddy, M. Sirbu, S. Stevens and H. Wactlar. Informedia Digital Video Library, Comm. of the ACM, Vol. 38, No. 4, pp. 57-58, 1995.
5. T. McGee and N. Dimitrova. Parsing TV Programs For Identification and Removal of Non-Story Segments, SPIE Conference on Storage and Retrieval in Image and Video Databases, January, San Jose, 1999.
6. W. Niblack, X. Zhu, J.L. Hafner,T. Bruel, D. B. Ponceleon, D. Petkovic, M. Flickner, E. Upfal, S.I. Nin, S. Sull, B.E. Dom. Updates to the QBIC System, Proc. IS&T SPIE, Storage and Retrieval for Image and Video Databases VI, Volume 3312, pp. 150-161, San Jose, 1998.
7. S. Pfeiffer, R. Lienhart, S. Fischer, and W. Effelsberg. Abstracting Digital Movies Automatically, Proc. Journal on Visual Communications and Image Representation, Vol. 7, No. 4, pp. 345-353, 1996.
