Web Information Systems Engineering, International Conference on (2001)
Dec. 3, 2001 to Dec. 6, 2001
Takako Hashimoto , Information Broadcasting Laboratories, Inc.
Atsushi Iizawa , Information Broadcasting Laboratories, Inc.
Yukari Shirota , Gakushuin University
Hiroyuki Kitagawa , University of Tsukuba
A huge amount of multimedia contents are available in the current Web environment. Streaming of video programs has become one of popular Web-based information services. Automatic digest generation is an important application using video program streams. We have developed a digest making method called PDMS (Personal Digest Making Scheme). PDMS extracts significant scenes and constructs digests automatically using the video program meta data. In PDMS, only a successful play event such as a goal that scored was considered significant, and a misplay event, such as a shot that did not score was not taken into account, although such event may affect game progress. This paper introduces a new concept of turning point analysis into PDMS. The turning point analysis is based on a winning probability for sports programs. The winning probability indicates the probability of home team beating an away team at the end of the game, given the current score and the time elapsed since the beginning of the game. Using the winning probability, we can more precisely evaluate the significance of each event, not merely a successful play but also a misplay. This paper presents turning point analysis for a soccer match. It also gives evaluation results of this extended PDMS, including turning point analysis for a recently broadcasted professional soccer match.
multimedia contents, video meta data, and digest-making.
Takako Hashimoto, Atsushi Iizawa, Ltd. Ricoh Company, Yukari Shirota, Hiroyuki Kitagawa, "Digest Making Method Based on Turning Point Analysis", Web Information Systems Engineering, International Conference on, vol. 01, no. , pp. 0083, 2001, doi:10.1109/WISE.2001.996469