@inproceedings{oai:kyutech.repo.nii.ac.jp:00004963,
 author = {Boudissa, Ahmed and Tan, Joo kooi and タン, ジュークイ and Kim, Hyungseop and 金, 亨燮 and 石川, 聖二 and Ishikawa, Seiji and Shinomiya, Takashi},
 book = {コンピュータビジョンとイメージメディア（CVIM）},
 issue = {18},
 month = {Mar},
 note = {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., CVIM2013年3月研究会プログラム 第186回, 大阪大学吹田キャンパス産業科学研究所, 3月15日(金), 取り込み日2015/12/22},
 pages = {1--6},
 publisher = {情報処理学会},
 title = {A novel saliency measure using combined spatial redundancy and local appearance},
 volume = {2013-CVIM-186},
 year = {2013},
 yomi = {イシカワ, セイジ}
}