Automatic compositing soccer video highlights with core-around event model

This paper presents an automatic video highlighting approach in relation to a soccer match video lasting over ninety minutes, in which only the match video and the target length of the highlight video are required for the composition. Firstly, we propose a core-around event model, which represents the highlight as a complex event and consists of three components: semantic relations, temporal relationship among the activities and local motion appearance of each activity. Secondly, we detect activities involved in a highlight in the soccer match video by the local motion appearance. Thirdly, a candidate highlight video segment is aligned with the model by a specific kernel activity extracted on the basis of the semantic relations, and then assigned a matching score. Finally, we splice together the highlight segments of high matching score. Experimental results demonstrate that the composed highlight videos are attractive episodes of soccer matches, and similar to those edited by professional editors.