Title :
Video retrieval based on scene change detection in compressed streams
Author :
Kang, Eung Kwan ; Kim, Sung Joo ; Choi, Joon Soo
Author_Institution :
Dept. of Electron. Eng., Chung-Ang Univ., Seoul, South Korea
fDate :
8/1/1999 12:00:00 AM
Abstract :
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 the AHIM (accumulated histogram intersection measure) of the 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
Keywords :
content-based retrieval; data compression; database indexing; feature extraction; image segmentation; image sequences; signal detection; video coding; video databases; DC image sequence; MPEG video sequence; accumulated histogram intersection measure; compressed streams; fast content-based browsing; fast content-based retrieval; key frame extraction algorithm; moments; region segmentation-based projective histogram; scene change detection; video database management system; video retrieval; video-indexing; Change detection algorithms; Content based retrieval; Histograms; Image coding; Image databases; Image sequences; Information retrieval; Layout; Transform coding; Video compression;
Journal_Title :
Consumer Electronics, IEEE Transactions on
