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In this paper, we present a probabilistic multi-task learning approach for visual saliency estimation in video.In our approach, the problem of visual saliency estimation is modeled by simultaneously ...
This paper presents a cost-sensitive rank learning approach for visual saliency estimation. This approach avoids the explicit selection of positive and negative samples, which is often used by existi...
This paper proposes a novel approach to advertisement evaluation using automatic salient regions. The salient regions are detected using a predicting model, in which the predicted values are obtaine...
A Dataset and Evaluation Methodology for Visual Saliency in Video     Dataset  Evaluation Methodology  Visual Saliency  Video       font style='font-size:12px;'> 2010/12/20
A Dataset and Evaluation Methodology for Visual Saliency in Video.
Ideal video fingerprinting should be robust to various practical distortions.Conventional fingerprinting mainly copes with natural distortions (brightness change, resolution reduction, etc.), while al...

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