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Saliency Map for Visual Attention Region Prediction Based on Fuzzy Neural Network
http://hdl.handle.net/10098/8415
http://hdl.handle.net/10098/8415e1098850-1f3e-4731-a495-3af70d8cb9bc
名前 / ファイル | ライセンス | アクション |
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bare_conf.pdf (911.6 kB)
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〓 2014 IEEE.Personal use of this materials permitted. Permission from IEEE must be obtained for all other uses,in any current or future media, including reprinting/republshing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or Iists, or reuse of any copyrighted component of this work in other works.
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Item type | 会議発表論文 / Conference Paper(1) | |||||
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公開日 | 2014-07-23 | |||||
タイトル | ||||||
タイトル | Saliency Map for Visual Attention Region Prediction Based on Fuzzy Neural Network | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Saliency map | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | visual attention recognition | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | fuzzy neural network | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_5794 | |||||
資源タイプ | conference paper | |||||
著者 |
Wang, Mao
× Wang, Mao× Maeda, Yoichiro× Takahashi, Yasutake |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Visual attention region prediction has been paid much attention by researchers in intelligent systems recent years because it can make the interaction between human and intelligent agents to be more convenient. In this paper, the prediction method of the visual attention region inferred by using fuzzy neural network (FNN) after extracting and computing of images feature maps and saliency maps was proposed. A method for training FNN is also proposed. A user experiment was conducted to evaluate the prediction effect of proposed method by making surveys for the prediction results. The results indicated that prediction method proposed by us has a better performance in the level of attention regions position prediction according to different images. | |||||
書誌情報 | p. 1281-1286, 発行日 2014-07 | |||||
出版者 | ||||||
出版者 | Institute of Electrical and Electronics Engineers | |||||
書誌レコードID | ||||||
識別子タイプ | NCID | |||||
関連識別子 | TD00007952 | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |