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Stereoscopic video as the simplest form of 3D video is already being used in consumer devices such as 3DTV and 3D mobile phone. When the 3D video from the 3D mobile phone is compressed and transmitted over error prone channels, error propagation due to packet loss leads to poor 3D visual quality. The objective of the paper is to provide error resilience 3D video using the well known multiple description...
Multiple Hypothesis Motion Compensated Prediction (MHMCP) has been extensively studied and is known to be a very effective method for enhancing the error resilience of motion compensated prediction with little impact on coding efficiency for compressing moving picture sequences. MHMCP with 2 hypotheses (2HMCP) may be used within the H.264/AVC standard by implementing it under the generalized B pictures...
Leaky prediction schemes have been proposed to reduce transmission error propagation by trading off with video coding efficiency. We propose using leaky prediction to improve the robustness of generalized source channel prediction scheme for H.264/AVC in error prone scenarios. We apply leaky prediction selectively at a macroblock level based on a simple mean square error metric in order to reduce...
Video communications over wireless networks suffers various patterns of losses, including burst losses that cause great degradation in video quality. In this paper, we propose an algorithm based on recursive optimal per-pixel estimate (ROPE) to accurately estimate the overall distortion accounting for the loss pattern. The estimated distortion is applied to the rate-distortion (RD)-based mode selection...
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