Abstract-Sports video semantic event detection is essential for sports video summarization and retrieval. Extensive research efforts have been devoted to this area in recent years. However, the existing sports video event detection approaches heavily rely on either video content itself, which face the difficulty of high-level semantic information extraction from video content using computer vision and image processing techniques, or manually generated video ontology, which is domain specific and difficult to be automatically aligned with the video content. In this paper, we present a novel approach for sports video semantic event detection based on analysis and alignment of webcast text and broadcast video.
In a text-based approach, sport video events are detected by analysing and alignment of webcast text and broadcast video REF .
Using Webcast Text for Semantic Event Detection in Broadcast Sports Video
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Computer Science