Partitioning of video objects into temporal segments using local motion information

Author

Erol, Bema ; Kossentini, Faouzi

Author_Institution

Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada

Volume

3

fYear

2000

fDate

2000

Firstpage

945

Abstract

We propose an algorithm to partition MPEG-4 video objects into temporal segments with uniform activity levels. These segments can be used for efficient summarization of video objects and/or retrieval of video objects by their motion. The proposed algorithm is based on the shape and texture coding modes of inter coded video object planes. Because the employed filtering techniques are simple and full decoding of the MPEG-4 bitstream is not required, the algorithm is computationally efficient

Keywords

data compression; decoding; filtering theory; image motion analysis; image retrieval; image segmentation; video coding; video databases; MPEG-4 video objects; computationally efficient algorithm; filtering techniques; inter-coded video object planes; local motion information; shape coding; temporal segments; texture coding; uniform activity levels; video coding; video objects partitioning; video objects retrieval; video objects summarization; Discrete cosine transforms; Layout; MPEG 4 Standard; Motion detection; Object detection; Shape; Transform coding; Video coding; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899613

Filename

899613