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To achieve the best image quality, noise and artifacts are generally removed at the cost of a loss of details generating the blur effect. To control and quantify the emergence of the blur effect, blur metrics have already been proposed in the literature. By associating the blur effect with the edge spreading, these metrics are sensitive not only to the(More)
— This paper presents a new model of human attention that allows salient areas to be extracted from video frames. As automatic understanding of video semantic content is still far from being achieved, attention model tends to mimic the focus of the human visual system. Most existing approaches extract the saliency of images in order to be used in multiple(More)
In this paper, a novel bottom-up visual attention model is proposed. By using static and dynamic features, we determine salient areas in video scenes. The model is characterized by the fusion of spatial information and moving object detection. The static model, inspired by the human system, is achieved by a retinal filtering followed by a cortical(More)
HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt età la diffusion(More)
Temporal pooling and temporal defects are the two dierences between image and video quality assessment. Whereas temporal pooling has been the object of two recent studies, this paper focuses on the rarely addressed topic of compression-induced temporal artifacts, such as mosquito noise. To study temporal aspects in subjective quality assessment, we compared(More)