Alternate motion-compensated prediction for error resilient video coding

Ma, Mengyao; Au, Oscar C.; Guo, Liwei; Chan, S.-H. Gary; Fan, Xiaopeng; Hou, Lingling

doi:10.1016/j.jvcir.2008.07.003

Cited by 1 publication

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [27], the error propagation impact in MHMCP was examined and the ratedistortion performance considering the hypothesis number and coefficients were analyzed. In [28], two-hypothesis prediction and one-hypothesis prediction were adaptively used to decrease error propagation. In [29], all frames were divided into period frame and nonperiod frame.…”

Section: Introductionmentioning

confidence: 99%

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

Liu

Zhao

et al. 2010

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

In dual frame motion compensation (DFMC), one short-term reference frame and one long-term reference frame (LTR) are utilized for motion compensation. The performance of DFMC is heavily influenced by the jump updating parameter and bit allocation for the reference frames. In this paper, first the rate-distortion performance analysis of motion compensated prediction in DFMC is presented. Based on this analysis, an adaptive jump updating DFMC (JU-DFMC) with optimal LTR selection and bit allocation is proposed. Subsequently, an error resilient JU-DFMC is further presented based on the error propagation analysis of the proposed adaptive JU-DFMC. The experimental results show that the proposed adaptive JU-DFMC achieves better performance over the existing JU-DFMC schemes and the normal DFMC scheme, in which the temporally most recently decoded two frames are used as the references. The performance of the adaptive JU-DFMC is significantly improved for video transmission over noisy channels when the specified error resilience functionality is introduced.

show abstract

Section: Introductionmentioning

confidence: 99%