Automatically parsing and labelling video based on camera motion qualitative analysis

Author

Ying-chun, Shi ; Xian-Zhong, Zhou ; Wen, Luo ; Feng, Zhang

Author_Institution

Dept. of Autom., Nanjing Univ. of Sci. & Technol., China

Volume

2

fYear

2004

fDate

6-9 Dec. 2004

Firstpage

1543

Abstract

Structurized video representation and indexing based on the representation are the foundation of video retrieval based on content. A novel algorithm is presented of automatically parsing and labelling video based on camera motion qualitative analysis. Firstly, the motion patterns are analyzed of the spatio-temporal slices in a video; and then the change detection and qualitative recognition of camera motion are carried out by using motion structure tensor. Finally, the results of camera motion analysis are used to parse and label video according to the camera motion coherence. The algorithm is experimentally proved effective and produces satisfactory results.

Keywords

content-based retrieval; image motion analysis; video signal processing; camera motion qualitative analysis; change detection; labelling video; motion structure tensor; parsing video; video indexing; video representation; video retrieval; Algorithm design and analysis; Cameras; Change detection algorithms; Content based retrieval; Indexing; Labeling; Motion analysis; Motion detection; Pattern analysis; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th

Print_ISBN

0-7803-8653-1

Type

conf

DOI

10.1109/ICARCV.2004.1469080

Filename

1469080