Content-Scalable Analysis for Video Indexing and Retrieval

Video content-scalability for video indexing and retrieval is proposed. Recently, the demand for content-based multimedia applications is increasing even beyond the capabilities of best-effort transmission networks. Therefore, the trend is toward constructing a content-oriented multimedia server that is capable of handling high volumes of content as well as of fulfilling high performance and various functionality requirements. For instance, in sports programs, audience can request any video clip including any player of the game. This paper introduces a content-scalable access platform for supporting video scalability and role of object identification. First, we describe a hierarchical content analysis method. Second, the framework of content-scalable video indexing with different content semantic class is illustrated.