A Co-Saliency Model of Image Pairs
Publication in refereed journal

香港中文大學研究人員

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摘要In this paper, we introduce a method to detect co-saliency from an image pair that may have some objects in common. The co-saliency is modeled as a linear combination of the single-image saliency map (SISM) and the multi-image saliency map (MISM). The first term is designed to describe the local attention, which is computed by using three saliency detection techniques available in literature. To compute the MISM, a co-multilayer graph is constructed by dividing the image pair into a spatial pyramid representation. Each node in the graph is described by two types of visual descriptors, which are extracted from a representation of some aspects of local appearance, e. g., color and texture properties. In order to evaluate the similarity between two nodes, we employ a normalized single-pair Sim-Rank algorithm to compute the similarity score. Experimental evaluation on a number of image pairs demonstrates the good performance of the proposed method on the co-saliency detection task.
著者Li HL, Ngan KN
期刊名稱IEEE Transactions on Image Processing
出版年份2011
月份12
日期1
卷號20
期次12
出版社Institute of Electrical and Electronics Engineers (IEEE)
頁次3365 - 3375
國際標準期刊號1057-7149
電子國際標準期刊號1941-0042
語言英式英語
關鍵詞Attention model; co-saliency; Sim-Rank; similarity
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2020-03-12 於 23:36