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

fYear

1999

fDate

22-24 June 1999

Firstpage

224

Lastpage

225

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 1999. ICCE. International Conference on

Conference_Location

Los Angeles, CA, USA

Print_ISBN

0-7803-5123-1

Type

conf

DOI

10.1109/ICCE.1999.785241

Filename

785241