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ファイル | 記述 | サイズ | フォーマット | |
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IEICE_E96-D_3_562.pdf | 3.07 MB | Adobe PDF | 見る/開く |
タイトル: | Computational Models of Human Visual Attention and Their Implementations: A Survey |
著者: | KIMURA, Akisato YONETANI, Ryo HIRAYAMA, Takatsugu |
著者名の別形: | 木村, 昭悟 米谷, 竜 平山, 高嗣 |
キーワード: | human visual attention computational model saliency bottom-up top-down |
発行日: | Mar-2013 |
出版者: | IEICE |
誌名: | IEICE Transactions on Information and System |
巻: | E96-D |
号: | 3 |
開始ページ: | 562 |
終了ページ: | 578 |
抄録: | We humans are easily able to instantaneously detect the regions in a visual scene that are most likely to contain something of interest. Exploiting this pre-selection mechanism called visual attention for image and video processing systems would make them more sophisticated and therefore more useful. This paper briefly describes various computational models of human visual attention and their development, as well as related psychophysical findings. In particular, our objective is to carefully distinguish several types of studies related to human visual attention and saliency as a measure of attentiveness, and to provide a taxonomy from several viewpoints such as the main objective, the use of additional cues and mathematical principles. This survey finally discusses possible future directions for research into human visual attention and saliency computation. |
著作権等: | © 2013 IEICE. |
URI: | http://hdl.handle.net/2433/171749 |
DOI(出版社版): | 10.1587/transinf.e96.d.562 |
関連リンク: | http://search.ieice.org/index.html |
出現コレクション: | 学術雑誌掲載論文等 |
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