Development Of CBIR System In Compressed-Domain

With the booming of digitized information and network, the patterns ofproduction and life of human beings have been changed dramatically due to the rapiddevelopment of information network and multimedia applications. The increasingneed for multimedia information has made the development of new network-basedmultimedia applications become one of the hottest subjects in the field ofinformation technology. Due to the enormous and unstructured multimedia data,solutions must be provided for their effective compression and efficient indexing inorder to realize all kinds of multimedia applications. Recently, effective compressiontechnique has substantially developed and images exist widely in compressed format.To make fast retrieval, indexing techniques of image/video data incompressed-domain have witnessed a booming interest. And people attachimportance to the research and development of content-based image retrieval systemin compressed-domain extensively. This paper discusses several key techniques which influence image retrievalperformance and develops a new content-based image retrieval system in compressed-domain based on VB6.0 and database SQL Server 2000.The major contents are: 1. Some current typical contented-based image retrieval systems are reviewed.Based on the structure analysis of these systems, this paper presents a flexible andsafe system with a friendly user interface and which can provide efficient imagedatabase management. 2. A novel relevance feedback algorithm using the optimal feature componentsadaptive extraction is put forward. Retrieval results can be changed with differentusers. 3. A new compound high-dimension indexing method is constructed by takingadvantage of some other high-dimension techniques. Simulation results show theefficiency of the method. 4. A model method according to the complexity of uploading and downloadingimages and features is proposed whose feasibility and efficiency are verified.