Spatio-temporal video search using the object based video representation

Author

Zhong, Di ; Chang, Shih-Fu

Author_Institution

Dept. of Electr. Eng., Columbia Univ., New York, NY, USA

Volume

1

fYear

1997

fDate

26-29 Oct 1997

Firstpage

21

Abstract

Object-based video representation provides great promises for new search and editing functionalities. Feature regions in video sequences are automatically segmented, tracked, and grouped to form the basis for content-based video search and higher levels of abstraction. We present a new system for video object segmentation and tracking using feature fusion and region grouping. We also present efficient techniques for spatio-temporal video query based on the automatically segmented video objects

Keywords

feature extraction; image representation; image segmentation; image sequences; motion estimation; query processing; video signal processing; visual databases; content-based video search; feature fusion; feature regions; motion estimation; object based video representation; region grouping; spatio-temporal video query; spatio-temporal video search; video editing; video object segmentation; video object tracking; Color; Colored noise; Image motion analysis; Image segmentation; Indexing; Object segmentation; Optical filters; TV; Video compression; Video sequences;

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.1997.647374

Filename

647374