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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mei Tian Siwei Luo Hua Huang Lingzhi Liao |
| Copyright Year | 2005 |
| Description | Author affiliation: Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ. (Mei Tian; Siwei Luo; Hua Huang; Lingzhi Liao) |
| Abstract | Inspired by the research of visual systems in neuroanatomy and psychology, a novel model for salient region detection in an image is proposed in the paper based on the "what" and "where" pathways. The operation of the model can be divided into two stages: finding and shifting salient regions. Current salient region and potential targets of an image are firstly found and marked according to statistical feature saliency. Series of next salient regions are then detected by altering different current salient region and alterative attracting force computation. Experimental results with natural images demonstrate its effectiveness and robustness |
| Starting Page | 985 |
| Ending Page | 990 |
| File Size | 3377382 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780394224 |
| DOI | 10.1109/ICNNB.2005.1614784 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Visual system Computational modeling Humans Psychology Independent component analysis Information processing Robustness Electronic mail Information technology Visual perception |
| Content Type | Text |
| Resource Type | Article |
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