Low-delay and error-resilient video coding is critical for real-time video communication over wireless networks. intra-refresh coding, which embeds intra coded regions into inter frames can achieve a relatively smooth...
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Low-delay and error-resilient video coding is critical for real-time video communication over wireless networks. intra-refresh coding, which embeds intra coded regions into inter frames can achieve a relatively smooth bit-rate and terminate the error propagation caused by the transmission loss. In this paper, we proposed a novel linear model for the intra-refresh cycle-size selection adapting to the network packet loss rates and the motions in the video content. We also analyze issues in designing the intra-refresh coding pattern and the refresh order, and propose a strategy which can adapt to different cycle-size and obtain better R-D performance compared with traditional random intra-refresh and vertical-partition intra-refresh. Experimental results show that the linear cycle-size selection model works effectively, where a 3 dB improvement can be achieved compared with a fixed cycle-size. Also, with the proposed intra-refresh order, a 2.0% bitrate reduction is obtained in average compared with the vertical-partition intra-refresh. (C) 2015 Elsevier Inc. All rights reserved.
Low-delay and error-resilience video coding are critical for real-time video communication over wireless networks. intra-refresh coding, which embeds intra-coded regions into inter frames can achieve a relatively smoo...
详细信息
ISBN:
(纸本)9786163618238
Low-delay and error-resilience video coding are critical for real-time video communication over wireless networks. intra-refresh coding, which embeds intra-coded regions into inter frames can achieve a relatively smooth bit-rate and terminate the error propagation caused by the transmission loss. In this paper, we proposed a novel linear model for the intra-refresh cycle size selection adapting to the network packet loss rate and the motions in the video content. Experimental results show that this linear model works efficiently. The modelled cycle size can achieve almost the same quality as the optimal cycle size under different packet loss rates.
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