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This paper proposes a novel saliency object detection method by using the mid-level and high-level visual cues. In the mid-level objectness evaluation, we generate three complementary saliency maps, such as the multi-scale segmentation cue, the background cue and the spatial color distribution cue. The first cue is used to highlight the objects via the local region segment. The second cue uses the...
In this paper, we propose a framework to discover and segment favorite object from the natural images. The main idea is to first generate the shape based common template of the favorite object using the images collected from the web. Then, the common template is used to extract the favorite object from the original images. In the common template generation, co-segmentation is used to provide the initial...
Salient objects extraction has been a hot research topic recently, and it is very helpful in many other fields of computer vision, such as image recognition, content-based image retrieval, and image compression. In this paper, we propose a novel method to extract the salient objects from natural images. In the proposed algorithm, we partition the image into patches of homogeneous regions, and then...
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