Spatial-temporal attention analysis for home videos

Qiu, X; Jiang, S; Liu, H; Huang, Q; Cao, L

Spatial-temporal attention analysis for home videos

Qiu, X Jiang, S Liu, H Huang, Q Cao, L

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Publication Type:: Conference Proceeding
Citation:: 2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings, 2008, pp. 1517 - 1520
Issue Date:: 2008-10-23

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Field	Value	Language
dc.contributor.author	Qiu, X	en_US
dc.contributor.author	Jiang, S	en_US
dc.contributor.author	Liu, H	en_US
dc.contributor.author	Huang, Q	en_US
dc.contributor.author	Cao, L https://orcid.org/0000-0003-1562-9429	en_US
dc.date.issued	2008-10-23	en_US
dc.identifier.citation	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings, 2008, pp. 1517 - 1520	en_US
dc.identifier.isbn	9781424425716	en_US
dc.identifier.uri	http://hdl.handle.net/10453/10873
dc.description.abstract	In this paper, by considering the multiple spatial-temporal characteristic of visual perception system, we propose a novel home video attention analysis method. Firstly, each frame of the video is segmented into regions which are more informative than pixels and image blocks. Then the saliency of each region is analyzed by combining static, motion and location attentions. Finally a region based saliency map is generated for each frame, and an attention score curve is obtained for the video clip by combining attention scores of all regions in each frame. Both of them can be utilized in wide applications. This method takes advantage of the properties of human visual perception and can well present the attention information of home videos. Experimental results show the effectiveness of this approach. © 2008 IEEE.	en_US
dc.relation.ispartof	2008 IEEE International Conference on Multimedia and Expo, ICME 2008 - Proceedings	en_US
dc.relation.isbasedon	10.1109/ICME.2008.4607735	en_US
dc.title	Spatial-temporal attention analysis for home videos	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	080110 Simulation and Modelling	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Hannover Congress Centrum, Hannover, Germany	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

In this paper, by considering the multiple spatial-temporal characteristic of visual perception system, we propose a novel home video attention analysis method. Firstly, each frame of the video is segmented into regions which are more informative than pixels and image blocks. Then the saliency of each region is analyzed by combining static, motion and location attentions. Finally a region based saliency map is generated for each frame, and an attention score curve is obtained for the video clip by combining attention scores of all regions in each frame. Both of them can be utilized in wide applications. This method takes advantage of the properties of human visual perception and can well present the attention information of home videos. Experimental results show the effectiveness of this approach. © 2008 IEEE.

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http://hdl.handle.net/10453/10873