Important scene analysis model using result importance and situation importance
by Takako Hashimoto, Takashi Katooka, Atsushi Iizawa, Hiroyuki Kitagawa
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 3, No. 4, 2009

Abstract: Functional improvements to mobile terminals have made possible the spread of multimedia information delivery services. Especially for sports, a service that extracts important scenes and reports them to users has become popular. We take the approach that situational changes in a game's progress can be presented as state transitions, and devise an important scene analysis model based on Result Importance (RI), which represents each situation's actual importance, and Situation Importance (SI), which shows the degree of a chance at the situation. With our model, significant scenes are extracted dynamically. Experimental results indicate that the proposed method is very promising.

Online publication date: Sun, 22-Nov-2009

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