Presentation 2008-11-27
Dynamic Markov random fields for stochastic modeling of visual attention
Akisato KIMURA, Derek PANG, Tatsuto TAKEUCHI, Junji YAMATO, Kunio KASHINO,
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Abstract(in English) This report proposes a new stochastic model of visual attention to predict the likelihood of where humans typically focus on a video scene. The proposed model is composed of a dynamic Bayesian network that simulates and combines a person's visual saliency response and eye movement patterns to estimate the most probable regions of attention. Dynamic Markov random field (MRF) models are newly introduced to include spatiotemporal relationships of visual saliency responses. Experimental results have revealed that the proposed model outperforms the previous deterministic model and the stochastic model without dynamic MRF in predicting human visual attention.
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Keyword(in English) Selective visual attention / saliency / dynamic Bayesian network / dynamic Markov random fields / mean field theory
Paper # PRMU2008-117,MVE2008-66
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Committee MVE
Conference Date 2008/11/20(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Dynamic Markov random fields for stochastic modeling of visual attention
Sub Title (in English)
Keyword(1) Selective visual attention
Keyword(2) saliency
Keyword(3) dynamic Bayesian network
Keyword(4) dynamic Markov random fields
Keyword(5) mean field theory
1st Author's Name Akisato KIMURA
1st Author's Affiliation NTT Communication Science Laboratories, NTT Corporation()
2nd Author's Name Derek PANG
2nd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation:School of Engineering Science, Simon Fraser University
3rd Author's Name Tatsuto TAKEUCHI
3rd Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
4th Author's Name Junji YAMATO
4th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
5th Author's Name Kunio KASHINO
5th Author's Affiliation NTT Communication Science Laboratories, NTT Corporation
Date 2008-11-27
Paper # PRMU2008-117,MVE2008-66
Volume (vol) vol.108
Number (no) 328
Page pp.pp.-
#Pages 6
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