Efficient access to video content in a unified framework

Book contents' browsing and retrieval have been greatly facilitated by its Table-of-Contents (ToC) and Index, respectively. Unfortunately, today's video lacks such powerful mechanisms. In this paper, we explore and present novel techniques for constructing video ToC and Index. Furthermore, we explore the relationship between video browsing and retrieval and propose a unified framework: to incorporate both entities in a seamless way. Experimental results on real-world video clips justify our proposed framework for providing efficient access to video content.

[1]  Michal Irani,et al.  Video indexing based on mosaic representations , 1998, Proc. IEEE.

[2]  Stephen W. Smoliar,et al.  Content-based video browsing tools , 1995, Electronic Imaging.

[3]  Shih-Fu Chang,et al.  Clustering methods for video browsing and annotation , 1996, Electronic Imaging.

[4]  A. Murat Tekalp,et al.  A high-performance shot boundary detection algorithm using multiple cues , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[5]  Thomas S. Huang,et al.  Exploring video structure beyond the shots , 1998, Proceedings. IEEE International Conference on Multimedia Computing and Systems (Cat. No.98TB100241).

[6]  Yueting Zhuang,et al.  Adaptive key frame extraction using unsupervised clustering , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).