Contextual browsing for highlights in sports video

A novel highlight browsing approach for sports video based on contextual cue categorization is proposed in this paper. Contextual cues are those salient audio and visual cues around highlight segments, and they are also informative and attractive to audiences. With further analysis and categorization of these contextual cues, user could access highlights more flexibly and effectively. An experimental system is built for broadcasting diving video in our cur-rent work, in which contextual cues such as slow-motion replays and game statistics information are extracted and categorized for highlight browsing. An efficient algorithm for slow-motion replay detection and categorization in diving video is also proposed. Experimental results on 2 hours broadcasting diving videos have demonstrated the effectiveness and efficiency of the proposed approach.