Springer International Publishing
Abstract Sports video classification is an important application of video content analysis. Event detection or recognition in sports video is an important task in semantic understanding of video content. In this paper, we propose a framework based on hidden Markov models (HMM) to represent a video as a sequence of core events that occur in a particular sport. The objective is to observe a subset of (hidden) state sequences to see whether they can be interpreted as the core events of that sport. We propose a method for sports video ...