H.264 error resilience coding based on multi-hypothesis motion-compensated prediction

Abstract

In this paper, we propose efficient schemes for enhancing the error robustness of multi-hypothesis motion-compensate predictive (MHMCP) coder without sacrificing the coding efficiency significantly. The proposed schemes utilize the concept of reference picture interleaving and data partitioning to make the MHMCP-coded video more resilient to channel errors, especially for burst channel error. Besides, we also propose a scheme of integrating adaptive intra-refresh into the proposed MHMCP coder to further improve the error recovery speed. Extensive simulation results show that the proposed methods can effectively and quickly mitigate the error propagation and the penalty on coding efficiency for clean channels due to the inserted error resilience features is rather minor.

Dual Frame Motion Compensation With Optimal Long-Term Reference Frame Selection and Bit Allocation

“…Although the method in [26] is used without the need of live encoding, whereas the proposed error resilient JU-DFMC needs to adaptively adjust the coding parameters, the performance of 2HMC [26] is listed to provide useful information. CU-DFMC + Dewan Perwakilan Rakyat Daerah (DPRD) [36] is also utilized for performance comparison here.…”

“…CU-DFMC + Dewan Perwakilan Rakyat Daerah (DPRD) [36] is also utilized for performance comparison here. In Table IV, the experimental results of the proposed error resilient JU-DFMC (error resilient JU-DFMC), CU-DFMC + DPRD [36], proposed adaptive JU-DFMC (Adaptive JU-DFMC), 2HMC [26] are listed and compared.…”

“…The PSNRs of the error resilient JU-DFMC and the other coding schemes measured after packet loss rate are listed on the left side of Table IV. 2HMC [26] has slightly lower performance than CU-DFMC + DPRD [36], it is because error propagation in [26] is alleviated, but not terminated. Adaptive JU-DFMC is slightly better than CU-DFMC + DPRD [36] in low packet loss rate.…”

“…In [25], the error propagation model of MHMCP jointly considered the coding efficiency and error resilience in predictor selection. Furthermore, the reference picture interleaving and data partitioning was utilized in [26] to make MHMCP more resilient to channel errors. In [27], the error propagation impact in MHMCP was examined and the ratedistortion performance considering the hypothesis number and coefficients were analyzed.…”