Mining Video Hierarchical Structure for Efficient Management and Access

To access video content, the suitable organization of video data is critical. The basic structure of video is a hierarchical structure that consists of four kinds of components, namely frame, shot, scene, and video program. To achieve such a structure, not only the shot detection and shot similarity, but also the scene structure construction is important. A simple framework for video hierarchical structure mining is to segment continued video frames into discrete physical shots, extract features from video shots and construct scene structure based on shots. In this paper, an efficient shot detection algorithm is proposed, and a novel algorithm for measuring video shot similarity is developed and scene change detection (SCD) is adopted to construct video scene based on color, texture and semantic similarity between shots. Our experimental results demonstrate the performance of the algorithms is promising