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This paper proposes a novel framework for universal facial expression recognition. The framework is based on two sets of features extracted from the face image: entropy and brightness. First, saliency maps are obtained by state-of-the-art saliency detection algorithm i.e. “frequency-tuned salient region detection”. Then only localized salient facial regions from saliency maps are processed to extract...
The detection of salient regions in images is of great interest for a lot of computer vision applications as adaptive content delivery, smart resizing and auto-cropping, content based image retrieval or visually impaired people assistance. In this paper we focus on the effect of blurriness on human visual attention when observers see images with no prior knowledge. We investigate the hypothesis that...
Salient regions detection is becoming more and more important due to its useful application in image representation and understanding. The accurate detection of salient regions can reduce the complexity and improve the efficiency of image processing. In this paper, a visual attention model based on multi-scale local contrast of low level features is proposed. In the proposed model, a multi-scale transform...
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