24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04)
Significant Scene Extraction Method Using Situation Importance
Hachioji, Tokyo, Japan
March 23-March 24
ISBN: 0-7695-2087-1
Recently, Sports videos for mobile terminals and PCs and other multimedia information services such as sports videos for mobile terminals and PCs have recently spread. In these services, The ability to efficientlyt extraction of significant scenes becomes importantis important with these services. We proposed the Personal Digest Making Scheme (PDMS), which calculates the significance of events in the a sports game based on video meta data and extracts significant scenes to compose a digest. PDMS calculations focus on additional-point events? significance, so the system could cannot analyze low-score games correctly. To address the problem, this paper explains the a method of calculating situation importance before events happen, to take into account significant scenes extractiowhich will be taken into account when extracting significant scenesn. Situation importance presents affords a degree of a chance. Using situation importance makes it possible to extract significant scenes more correctly.
Citation:
Takako Hashimoto, Takashi Katooka, Atsushi Iizawa, Hiroyuki Kitagawa, "Significant Scene Extraction Method Using Situation Importance," icdcsw, vol. 1, pp.248-253, 24th International Conference on Distributed Computing Systems Workshops - W1: MNSA (ICDCSW'04), 2004