AUTOMATIC SUMMARIZATION OF AUDIO-VISUAL SOCCER FEEDS

This paper presents a fully automatic system for soccer game summarization. The system takes audio-visual content as an input, and builds on the integration of two independent but complementary contributions (i) to identify crucial periods of the soccer game in a fully automatic way, and (ii) to summarize the soccer game as a function of individual narrative preferences of the user. The process involves both audio and video analysis, and handles the personalized summarization challenge as a resource allocation problem. Experiments on real-life broadcasted content demonstrate the relevance and the computational efficiency of our integrated approach.