KEYWORDS: Error analysis, Video coding, Digital filtering, Optical filters, Video, Computer programming, Optical engineering, Distortion, Signal attenuation, Standards development
In error-prone environments, packets could be lost during the transmission of compressed video bitstream, and corrupted errors by the lost packets could be propagated until it meets a refresh point. To defect the error propagation, constrained intra-prediction in high efficiency video coding (HEVC) performs intra-prediction using only neighboring intra-coded samples. However, the errors could be propagated to intra-coded blocks by an in-loop filtering process, since the in-loop filtering is performed regardless of the prediction modes of blocks, even though constrained intra-prediction is used. In this paper, a constrained in-loop filtering is proposed to protect intra-coded samples from error propagation by adaptively applying filters depending on the prediction modes of reconstructed blocks. Simulation results show that the proposed method alleviates the distortion of the decoded pictures and thereby improves both subjective and objective quality compared with the HEVC standard.
A redundant picture is one of the H.264/AVC tools for increasing error resiliency when video is delivered over error prone environments. We present a loss-aware redundant picture allocation method that determines whether the redundant picture is inserted for each primary coded picture or not. The determination is based on an error rate of transmission network and the distortion of decoded picture caused by the error. Simulation results showed that the proposed method alleviates the distortion and, thereby, it achieves higher quality of the decoded picture than the conventional methods, including the hierarchical redundant picture. In particular, the proposed method produces outstanding results at low bit rates; thus, the method is highly applicable to low bit-rate wireless video transmission.
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