An optimal key frame representation for video shot retrieval

  title={An optimal key frame representation for video shot retrieval},
  author={Kin-Wai Sze and Kin-Man Lam and Guoping Qiu},
  journal={Proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, 2004.},
In this paper, we propose an optimal representation scheme to construct an optimal key frame based on global statistics for video retrieval. Each pixel in this optimal key frame is constructed by considering the probability of occurrence of those pixels at the corresponding pixel position among the frames in a video shot. Therefore, this constructed key frame is called the "temporally maximum occurrence frame" (TMOF), which is an optimal representation of all the frames in a video shot. The… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.

Local Features Based Image Sequence Retrieval

JCP • 2010
View 6 Excerpts
Highly Influenced


Publications referenced by this paper.
Showing 1-3 of 3 references

Tckalp and Ragiv Mchrotra, "Rohust Color II iSlOgram Descriptors for Video Segment Retrieval and Identification

A. Mllfit Ferman, A. Murat
IEEE Transactions on Image Processing. Vul. 11. Nu, • 2002

Efficient Video Indexing Scheme for Content·l3ased Rctrieval

Ilyun Sung Chang. Sanghoon Sull, San Uk Lee
IEEE Transactions on Circuits and Systems for Video Technology, Vol. 9, • 1999

Similar Papers

Loading similar papers…