An algorithm for the segmentation of image sequences is presented, taking into account especially aspects for object oriented coding. A fundamental requirement of such applications is the temporal stability of the seg...
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ISBN:
(纸本)0819423564
An algorithm for the segmentation of image sequences is presented, taking into account especially aspects for object oriented coding. A fundamental requirement of such applications is the temporal stability of the segmentation. This is improved in this article compared to other existing approaches by including motion estimation into the segmentation process. Additionally a hierarchical approach enables an efficient predictive coding on one hand and a semantic data access on the other hand. As a direct result from using full color information for the segmentation process, coding of the chrominance information can be done with extremely high compression ratios. Instead of full resolution chrominance information only few mean chrominance vectors need to be transferred (which corresponds to a compression factor of about 1000). Additionally object shapes must be coded but this has to be done for grayscale images anyway.
In this paper, a new texture coding algorithm for arbitrarily shaped image segments is introduced. In contrast to other methods described in the literature, the proposed coding algorithm has low computational complexi...
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In this paper, a new texture coding algorithm for arbitrarily shaped image segments is introduced. In contrast to other methods described in the literature, the proposed coding algorithm has low computational complexity, is based on the widely used 8 x 8 2D-DCT, and thus, can be readily implemented using existing block-based coding standards such as JPEG, H.261, MPEG, And the content based functionalities currently discussed in the MPEG-4 standardization phase can be easily achieved with the proposed algorithm. Computer simulations and comparisons with other results from the literature reveal that our proposed technique is quite promising and competitive. (C) 1998 Elsevier Science B.V. All rights reserved.
High-Efficiency Video coding is currently proposed as the newest and most efficient video coding standard by the ITU-T Video coding Experts Group and the ISO/IEC Moving Picture Experts Group. Compression improvement r...
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ISBN:
(纸本)9783642411410;9783642411427
High-Efficiency Video coding is currently proposed as the newest and most efficient video coding standard by the ITU-T Video coding Experts Group and the ISO/IEC Moving Picture Experts Group. Compression improvement relative to existing standards is estimated in the range of 50%. It is a block-based hybrid video coding algorithm that introduces several novel features compared to MPEG-4 like coding Units associated with Prediction Units and Transform Units, Advanced Motion Vector Prediction, minimization of a rate-distortion Lagrangian cost, directional orientations for intra-picture prediction etc. The core algorithm of Context-Adaptive Binary Arithmetic coding is based upon that of the MPEG-4 standard. View synthesis algorithms for HEVC stereo and 3D encoding are expected to be finalized as a standard extension. A Multi-view Video coding scheme based upon the estimation of correlated parameter sets of elastic models between views is wherein adopted. The order of the tensor equals the number of multiple views. Underlying distributions are updated step-by-step. They are modeled according to context indices.
In this paper, we propose a new vertex adjustment method which is based on the size ratio of an object and that of a polygon. In the conventional polygonal approximation methods, the sizes of an object and an approxim...
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In this paper, we propose a new vertex adjustment method which is based on the size ratio of an object and that of a polygon. In the conventional polygonal approximation methods, the sizes of an object and an approximating polygon are quite different, therefore there are so many error pixels between them. The proposed method reduces the size of error regions by adjusting the size of the polygon to that of an object. Simulation results show outstanding performance of the proposed method.
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