A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantics-Based Image Retrieval by Region Saliency
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A Watermarking Scheme Using Image Object Region
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Contrast-based image attention analysis by using fuzzy growing
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Central object extraction for object-based image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Automatic detection of salient objects and spatial relations in videos for a video database system
Image and Vision Computing
GPS-based multi-viewpoint integration for anticipative scene analysis
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
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In this paper, we propose a salient object extraction method using the contrast map and salient points for object-based image retrieval. In order to make the contrast map, we generate three-feature maps such as luminance map, color map and orientation map and extract salient points from an image. By using these features, we can decide the Attention Window (AW) location easily. The purpose of the AW is to remove the useless regions included in the image such as background as well as reducing the amount of image processing. To create the exact location and flexible size of the AW, we use above features with some proposed rules instead of using pre-assumptions or heuristic parameters. After determining of the AW, we apply the image segmentation to inner area of the AW and combine the candidate salient regions as one salient object.