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Titlebook: Advances in Multimedia Information Processing – PCM 2017; 18th Pacific-Rim Con Bing Zeng,Qingming Huang,Xiaopeng Fan Conference proceedings

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Combinatorial Computational Biology of RNAperiments are conducted on 4 LFIs to verify the effectiveness of the proposed compression scheme. The simulated results demonstrate that our LFI compression scheme can achieve a high LFI compression performance and outperform the-state-of-art coding solution.
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Interdisciplinary Systems Researchto quantize CSDV frames. The experimental results show that our compression scheme achieves a significant Bjontegaard Delta (BD)-PSNR improvement about 2–10 dB when compared to the standard video coding schemes, e.g. Uniform Scalar Quantization-Differential Pulse Code Modulation (USQ-DPCM) and H.265/HEVC.
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Combinatorial Computational Biology of RNAptual rate distortion model is proposed, which takes saliency weight into consideration when performing rate-distortion optimization (RDO). Finally, the experimental results show our algorithm significantly improves the subjective quality of videos compressed by HEVC and gains of 0.61 dB in Y-PSNR.
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-Designs and ,-wise Balanced Designs, we combine histogram equalization and sparsity suppression to obtain salient structure; (2) we take kernel outliers into consideration and introduce . norm to suppress kernel’s shape. The experiment results show that SPOS has the better performance compared with the state-of-the-art methods.
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