Video retrieval based on scene change detection in compressed streams

作     者：Kang, EK Kim, SJ Choi, JS 

作者机构：Chung Ang Univ Dept Elect Engn Tongjak Ku Seoul 156756 South Korea 

出 版 物：《IEEE TRANSACTIONS ON CONSUMER ELECTRONICS》 (IEEE Trans Consum Electron)

年 卷 期：1999年第45卷第3期

页      面：932-936页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：Institute of Information Technolo-gy Assessment 

主　　题：Video compression Layout Information retrieval Image databases Histograms Image coding Change detection algorithms Content based retrieval Image sequences Transform coding 

摘      要：This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for a fast content-based browsing and retrieval in a video database. We first extract key frames by matching AHIM (Accumulated Histogram Intersection Measure) of DC image sequence constructed from the MPEG video sequence. Then we use the region segmentation-based projective histogram and its moments as database indices for video retrieval.