An Error-Tolerant Video Retrieval Method Based on the Shot Composition Sequence in a Scene

This paper presents an error-tolerant video retrieval method based on the shot composition sequence in a scene. Conventional video players in the home can not access interesting scenes directly because they offer only play, fast-forward, and rewind. What is needed is an easy-to-use video scene player that can directly access scenes important to the user. This paper presents an error-tolerant video retrieval method that assesses the shot composition sequence in each scene. Our method has three characteristics: (1) easy query generation since the regular interface is used for query generation; (2) similar video scene retrieval based on the sequence of symbols created by shot composition clustering to effectively identify scenes similar to the query; (3) fast similarity measurement based on sequences of symbols. An experiment shows that the proposed system can retrieve video scenes similar to the query quickly as well as allowing semantic retrieval to be constructed in a non-supervised way.