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Global contrast based salient region detection (2011)
| Content Provider | CiteSeerX |
|---|---|
| Author | Cheng, Ming-Ming Zhang, Guo-Xin Mitra, Niloy J. Huang, Xiaolei Hu, Shi-Min |
| Description | In Proc. IEEE CVPR Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their contents, and thus remains an important step in many computer vision tasks including image segmentation, object recognition, and adaptive compression. We propose a regional contrast based saliency extraction algorithm, which simultaneously evaluates global contrast differences and spatial coherence. The proposed algorithm is simple, efficient, and yields full resolution saliency maps. Our algorithm consistently outperformed existing saliency detection methods, yielding higher precision and better recall rates, when evaluated using one of the largest publicly available data sets. We also demonstrate how the extracted saliency map can be used to create high quality segmentation masks for subsequent image processing. 1. |
| File Format | |
| Language | English |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Subsequent Image Processing Adaptive Compression Many Computer Vision Task Appropriate Processing Yield Full Resolution Saliency Map Reliable Estimation Global Contrast Difference Object Recognition Recall Rate Extracted Saliency Map Prior Knowledge Visual Saliency Global Contrast Saliency Detection Method Image Segmentation Salient Region Detection Saliency Extraction Algorithm Important Step Spatial Coherence Regional Contrast Available Data Set High Quality Segmentation Mask |
| Content Type | Text |
| Resource Type | Article |
