Effective Video Event Detection Via Subspace Projection

This paper describes a new video event detection framework based on subspace selection technique. With the approach, feature vectors presenting different kinds of video information can be easily projected from different modalities onto an unified subspace, on which recognition process can be perform...

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Main Authors: SHEN, Jialie, Tao, Dacheng, LI, Xuelong
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2008
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Online Access:https://ink.library.smu.edu.sg/sis_research/575
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.sis_research-15742010-09-24T08:24:04Z Effective Video Event Detection Via Subspace Projection SHEN, Jialie Tao, Dacheng LI, Xuelong This paper describes a new video event detection framework based on subspace selection technique. With the approach, feature vectors presenting different kinds of video information can be easily projected from different modalities onto an unified subspace, on which recognition process can be performed. The approach is capable of discriminating different classes and preserving the intra-modal geometry of samples within an identical class. Distinguished from the existing multi-modal detection methods, the new system works well when some modalities are not available. Experimental results based on soccer video and TRECVID news video collections demonstrate the effectiveness, efficiency and robustness of the proposed method for individual recognition tasks in comparison to the existing approaches. 2008-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/575 info:doi/10.1109/MMSP.2008.4665043 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Numerical Analysis and Scientific Computing
spellingShingle Databases and Information Systems
Numerical Analysis and Scientific Computing
SHEN, Jialie
Tao, Dacheng
LI, Xuelong
Effective Video Event Detection Via Subspace Projection
description This paper describes a new video event detection framework based on subspace selection technique. With the approach, feature vectors presenting different kinds of video information can be easily projected from different modalities onto an unified subspace, on which recognition process can be performed. The approach is capable of discriminating different classes and preserving the intra-modal geometry of samples within an identical class. Distinguished from the existing multi-modal detection methods, the new system works well when some modalities are not available. Experimental results based on soccer video and TRECVID news video collections demonstrate the effectiveness, efficiency and robustness of the proposed method for individual recognition tasks in comparison to the existing approaches.
format text
author SHEN, Jialie
Tao, Dacheng
LI, Xuelong
author_facet SHEN, Jialie
Tao, Dacheng
LI, Xuelong
author_sort SHEN, Jialie
title Effective Video Event Detection Via Subspace Projection
title_short Effective Video Event Detection Via Subspace Projection
title_full Effective Video Event Detection Via Subspace Projection
title_fullStr Effective Video Event Detection Via Subspace Projection
title_full_unstemmed Effective Video Event Detection Via Subspace Projection
title_sort effective video event detection via subspace projection
publisher Institutional Knowledge at Singapore Management University
publishDate 2008
url https://ink.library.smu.edu.sg/sis_research/575
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