Abstract
Distributed video coding (DVC) architecture designs, based on distributed source coding principles, have benefitted from significant progresses lately, notably in terms of achievable rate-distortion performances. However, a significant performance gap still remains when compared to prediction-based video coding schemes such as H.264/AVC. This is mainly due to the non-ideal exploitation of the video sequence temporal correlation properties during the generation of side information (SI). In fact, the decoder side motion estimation provides only an approximation of the true motion. In this paper, a progressive DVC architecture is proposed, which exploits the spatial correlation of the video frames to improve the motion-compensated temporal interpolation (MCTI). Specifically, Wyner-Ziv (WZ) frames are divided into several spatially correlated groups that are then sent progressively to the receiver. SI refinement (SIR) is performed as long as these groups are being decoded, thus providing more accurate SI for the next groups. It is shown that the proposed progressive SIR method leads to significant improvements over the Discover DVC codec as well as other SIR schemes recently introduced in the literature.
Highlights
Digital video coding standards have steadily evolved in order to achieve high compression performances using sophisticated, but increasingly complex, techniques for accurate motion estimation and compensation
Video sequences: The simulations were done on the luminance component, at 15 frames per second, of the same five Quarter Common Intermediate Format (QCIF) video sequences mentioned in Section 4.4
Temporal correlation: Three sizes of group of pictures are considered in the tests: GOP = 2, 4, and 8, such that the efficiency of the proposed SI refinement (SIR) scheme can be examined under different temporal correlation conditions
Summary
Digital video coding standards have steadily evolved in order to achieve high compression performances using sophisticated, but increasingly complex, techniques for accurate motion estimation and compensation. It shows the reconstructed frame after decoding the first set bringing out the template of four diagonal blocks. The motion estimation and compensation technique is similar to that described for the progressive schemes with two sets of blocks: it considers the weighted average of the three blocks obtained by motion search from the two neighboring frames and by copying the co-located block in the interpolated frame. The first two passes for side information refinement are the same as in the three groups scheme
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