DocumentCode
2324416
Title
A model of motion attention for video skimming
Author
Ma, Yu-Fei ; Zhang, Hong-Jiang
Author_Institution
Microsoft Res. Asia, Beijing, China
Volume
1
fYear
2002
fDate
2002
Abstract
One of the key issues in video manipulation is video abstraction in the form of skimmed video. For this purpose, an important task is to determine the content significance of each chunk of frames in a video sequence. In this paper, we present a new computational model of motion attention and the approach to applying this model in video skimming. The effectiveness of our architecture and model is demonstrated by user studies of visual skimming experiments. The results indicate that the precision of motion attention detection is over 80%, and the user satisfaction of visual skimming is beyond 70%.
Keywords
image motion analysis; image sequences; video signal processing; content significance; motion attention; skimmed video; video abstraction; video manipulation; video sequence; visual skimming; Asia; Cameras; Computational modeling; Computer architecture; Control systems; Image sequence analysis; Machine vision; Motion detection; Power system modeling; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing. 2002. Proceedings. 2002 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7622-6
Type
conf
DOI
10.1109/ICIP.2002.1037976
Filename
1037976
Link To Document