Bitrate Control of Distributed Source Coding by Frame Prediction Method

Kin Honn Chiam, M. Salleh
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Abstract

Distributed source coding is proposed as a new video compression paradigm to shift the bulk of computation to the decoder, in order to achieve low complexity encoder design. During the decoding operation, the decoder will iteratively request for syndrome bits from the encoder to achieve certain decoding quality. This causes inconsistent bitrate and might increase the bitrate. In this study, we add a module at the decoder to iteratively predict the next to be decoded frame. Hence, the bitrate can be controlled by eliminating the need to request for more syndrome bits from the encoder. The results show that the proposed model can achieve performance close to the conventional distributed source coding model.
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基于帧预测方法的分布式码率控制
分布式源编码作为一种新的视频压缩模式,将大量的计算转移到解码器上,以实现低复杂度的编码器设计。在解码过程中,解码器会反复向编码器请求综合征位,以达到一定的解码质量。这会导致比特率不一致,并可能增加比特率。在本研究中,我们在解码器中增加了一个模块来迭代预测下一个要解码的帧。因此,可以通过消除从编码器请求更多综合征位的需要来控制比特率。结果表明,该模型的性能接近传统的分布式源编码模型。
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