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This work is focused on the task of multimodal saliency detection. Very few works have been developed in the field, and there are no well-established baselines or benchmarks comparable to those existing in the field of visual saliency detection. In this paper, we set out to improve an existing model by enhancing the performance of its key module: the audio-visual correlation estimation based on the...
In this paper, a low-complexity motion-based saliency map estimation method for perceptual video coding is proposed. The method employs a camera motion compensated vector map computed by means of a hierarchical motion estimation (HME) procedure and a Restricted Affine Transformation (RAT)-based modeling of the camera motion. To allow for a computationally efficient solution, the number of layers of...
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