Mental Focus Analysis Using the Spatio-temporal Correlation between Visual Saliency and Eye Movements
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説明
The spatio-temporal correlation analysis between visual saliency and eye movements is presented for the estimation of the mental focus toward videos. We extract spatio-temporal dynamics patterns of saliency areas from the videos, which we refer to as saliency-dynamics patterns, and evaluate eye movements based on their correlation with the saliency-dynamics patterns in view. Experimental results using TV commercials demonstrate the effectiveness of the proposed method for the mental-focus estimation.------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.20(2012) No.1 (online) DOI http://dx.doi.org/10.2197/ipsjjip.20.267------------------------------
The spatio-temporal correlation analysis between visual saliency and eye movements is presented for the estimation of the mental focus toward videos. We extract spatio-temporal dynamics patterns of saliency areas from the videos, which we refer to as saliency-dynamics patterns, and evaluate eye movements based on their correlation with the saliency-dynamics patterns in view. Experimental results using TV commercials demonstrate the effectiveness of the proposed method for the mental-focus estimation.------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.20(2012) No.1 (online) DOI http://dx.doi.org/10.2197/ipsjjip.20.267------------------------------
収録刊行物
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- 情報処理学会論文誌
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情報処理学会論文誌 52 (12), 10p-, 2011-12-15
東京 : 情報処理学会
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詳細情報 詳細情報について
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- CRID
- 1050845762830881664
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- NII論文ID
- 110008719938
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- NII書誌ID
- AN00116647
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- ISSN
- 18827764
- 18827837
- 03875806
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- NDL書誌ID
- 023426926
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- 本文言語コード
- en
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- 資料種別
- journal article
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- データソース種別
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