Motion and color-based video indexing and retrieval

Author

Ardizzone, Edoardo ; La Cascia, Marco ; Molinelli, Davide

Author_Institution

Dipartimento di Ingegneria Elettrica, Palermo Univ., Italy

Volume

3

fYear

1996

fDate

25-29 Aug 1996

Firstpage

135

Abstract

In this paper we present a method for automatic motion and color based video indexing and retrieval. Our system automatically splits a video into a sequence of shots and extracts a few representative frames (r-frames) from each shot. For each r-frame we compute the optical flow field; motion features are then derived from the flow field. Color features are related to the three-dimensional RGB color histogram. Queries (direct or by example) are based on these features. Obtained results proved that motion and color based querying can play a central role in content based video retrieval

Keywords

indexing; motion estimation; query processing; visual databases; 3D RGB color histogram; color-based video indexing; content-based video retrieval; motion features; motion-based video indexing; r-frames; representative frames; video retrieval; video sequence; Cameras; Content based retrieval; Data mining; Feature extraction; Image databases; Image motion analysis; Image sequences; Indexing; Optical computing; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 1996., Proceedings of the 13th International Conference on

Conference_Location

Vienna

ISSN

1051-4651

Print_ISBN

0-8186-7282-X

Type

conf

DOI

10.1109/ICPR.1996.546809

Filename

546809