WEKO3
アイテム
A novel saliency measure using combined spatial redundancy and local appearance
https://ipsj.ixsq.nii.ac.jp/records/90898
https://ipsj.ixsq.nii.ac.jp/records/90898e5078303-4f41-4162-a357-f6ad69cf41e5
名前 / ファイル | ライセンス | アクション |
---|---|---|
![]() |
Copyright (c) 2013 by the Information Processing Society of Japan
|
|
オープンアクセス |
Item type | SIG Technical Reports(1) | |||||||
---|---|---|---|---|---|---|---|---|
公開日 | 2013-03-07 | |||||||
タイトル | ||||||||
タイトル | A novel saliency measure using combined spatial redundancy and local appearance | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | A novel saliency measure using combined spatial redundancy and local appearance | |||||||
言語 | ||||||||
言語 | eng | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
資源タイプ | technical report | |||||||
著者所属 | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属 | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属 | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属 | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属 | ||||||||
Japan University of Economics | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Kyushu Institute of Technology | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Japan University of Economics | ||||||||
著者名 |
Ahmed, Boudissa
× Ahmed, Boudissa
|
|||||||
著者名(英) |
Ahmed, Boudissa
× Ahmed, Boudissa
|
|||||||
論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | In this paper, we present a novel approach to saliency detection. The method we propose here aims at synthesizing common knowledge of saliency in an image. We define a visually salient region with following two parameters; the spatial redundancy and its local appearance. The former is its probability of occurrence within the image, which is a quantification of the “rarity” of the concerned region, whereas the latter defines how much information is contained within the region, and it can be quantified using the entropy. By combining the global spatial redundancy measure and local entropy, we can achieve a simple, yet robust measure. We evaluated and compared it to Itti's and the spectral residual methods, and it has shown a significant improvement of performance. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | In this paper, we present a novel approach to saliency detection. The method we propose here aims at synthesizing common knowledge of saliency in an image. We define a visually salient region with following two parameters; the spatial redundancy and its local appearance. The former is its probability of occurrence within the image, which is a quantification of the “rarity” of the concerned region, whereas the latter defines how much information is contained within the region, and it can be quantified using the entropy. By combining the global spatial redundancy measure and local entropy, we can achieve a simple, yet robust measure. We evaluated and compared it to Itti's and the spectral residual methods, and it has shown a significant improvement of performance. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA11131797 | |||||||
書誌情報 |
研究報告コンピュータビジョンとイメージメディア(CVIM) 巻 2013-CVIM-186, 号 18, p. 1-6, 発行日 2013-03-07 |
|||||||
Notice | ||||||||
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
出版者 | ||||||||
言語 | ja | |||||||
出版者 | 情報処理学会 |