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The Multidimensional Multiscale Parser (MMP) is a pattern-matching-based generic image encoding solution which has been investigated earlier for the compression of stereo images with successful results. While first MMP-based proposals for stereo image coding employed dictionary-based techniques for disparity compensation, posterior developments have demonstrated the advantage of using predictive methods...
This paper presents a method to increase the efficiency of the disparity compensation process performed by state-of-the-art video coding extensions for 3D and multiview. Disparity compensation relies traditionally on a block matching algorithm limited to two degrees of freedom, that in many cases does not adequately address the disparity created by the camera arrays. The proposed method is combined...
This paper describes a method to enhance the disparity compensation in 3D-stereo image and video compression algorithms. Disparity compensation is usually performed using a block matching technique between both views, disregarding the various levels of disparity present for objects at different depths in the scene. An alternative coding scheme is proposed, taking advantage of the cameras setup information...
State-of-the art approaches towards stereo image coding exploit inter-view redundancy by employing block-matching methods for disparity estimation and compensation. However, the efficiency of these methods is affected by mismatched areas, due to occlusions, brightness variations, or perspective distortion between objects of the two views. In this paper we present a new prediction scheme for stereo...
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