Content-based search of video using color, texture, and motion

Author

Deng, Yining ; Manjunath, B.S.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

2

fYear

1997

fDate

26-29 Oct 1997

Firstpage

534

Abstract

We present an implementation of a system for content-based search and retrieval of video based on low-level visual features. The system consists of three parts, automatic video partition, feature extraction, video search and retrieval. Three primary features, color texture and motion are used for indexing. They are represented by color histograms, Gabor texture features, and motion histograms. Most of the processing is done directly in the MPEG compressed domain. Testing on sports and movie databases have shown good retrieval performance

Keywords

feature extraction; image colour analysis; image representation; image texture; indexing; information retrieval systems; interactive television; motion estimation; search problems; video signal processing; visual databases; Gabor texture features; MPEG compressed domain; automatic video partition; color histograms; color texture; content-based search; feature extraction; indexing; low-level visual features; motion histograms; movie databases; retrieval; sports databases; Content based retrieval; Feature extraction; Histograms; Indexing; Information retrieval; Motion pictures; Spatial databases; Testing; Transform coding; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1997. Proceedings., International Conference on

Conference_Location

Santa Barbara, CA

Print_ISBN

0-8186-8183-7

Type

conf

DOI

10.1109/ICIP.1997.638826

Filename

638826