Title :
Video retrieval based on scene change detection in compressed streams
Author :
Eung Kwan Kang ; Sung Joo Kim ; Jong Soo Choi
Author_Institution :
Dept. of Electron. Eng., Chung-Ang Univ., Seoul, South Korea
Abstract :
This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for fast content-based browsing and retrieval in video databases. 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; feature extraction; image segmentation; image sequences; video coding; video databases; DC image sequence; MPEG video sequence; accumulated histogram intersection measure; compressed streams; content-based browsing; content-based retrieval; database indices; key frame extraction algorithm; region segmentation-based projective histogram; scene change detection; video databases; video indexing; video retrieval; Change detection algorithms; Content based retrieval; Histograms; Image coding; Image databases; Image sequences; Information retrieval; Layout; Transform coding; Video compression;
Conference_Titel :
Consumer Electronics, 1999. ICCE. International Conference on
Conference_Location :
Los Angeles, CA, USA
Print_ISBN :
0-7803-5123-1
DOI :
10.1109/ICCE.1999.785241
