Shot Type and Replay Detection for Soccer Video Parsing

Abstract

Parsing the structure of soccer video plays an important role in semantic analysis of soccer video. In this paper, we present a shot classification method based on the detection of grass field pixels and size of players. In addition, a replay detection algorithm is proposed. First, the candidate logo images are identified by using contrast feature and histogram difference. The contrast logo template is calculated to detect logo frames. Finally, replay segments are identified by pairing and finding the beginning and the end of logo transition. Experiments on three soccer matches showed that our method is effective and applicable for higher level semantic analysis.