Highlight ranking for sports video browsing

Sports video has been extensively studied for its wide viewer-ship and tremendous commercial potentials. Many studies focused on highlight extraction for summarizing a lengthy video. In this paper, we present an advanced highlight analysis system for sports video browsing, in which highlight evaluation and ranking are concerned besides highlight detection. First, we use replay detection to efficiently localize the highlights. Then incorporating with domain-specific knowledge, we adopt several significant cues to evaluate the importance degree of the highlights with support vector regression. Finally, the highlights are ranked with descending sort according to their importance value. The ranking results can provide a hierarchical video browsing and customized content delivery scheme. Initial experimental results on soccer videos show an encouraging performance comparing with human subjective evaluation. Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing]: abstract methods, indexing methods