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Accurately modeling and predicting the visual attention behavior of human viewers can help a video analysis algorithm find interesting regions by reducing the search effort of tasks, such as object detection and recognition. In recent years, a great number and variety of visual attention models for predicting the direction of gaze on images and videos have been proposed. When a human views video,...
Target searching, i.e. fast locating target objects in images or videos, has attracted much attention in computer vision. A comprehensive understanding of factors influencing human visual searching is essential to design target searching algorithms for computer vision systems. In this paper, we propose a combined model to generate scan paths for computer vision to follow to search targets in images...
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