Pixelwise adaptive prediction-based lossless reference frame compression algorithm for video coding
Pixelwise adaptive prediction-based lossless reference frame compression algorithm for video coding
复制标题
基于像素自适应预测的视频编码无损参考帧压缩算法
DOI：
10.1117/1.jei.27.3.033022
复制
发表时间：
2018-05
影响因子：
1.1
通讯作者：
Wang Jinxiang
中科院分区：
文献类型：
--
作者：
Xu Weizhe;Fu Fangfa;Wang Yao;Wang Jinxiang
抽象的。随着视频序列规模的不断增大，运动估计过程中利用外部存储器获取和存储参考帧所需的访问带宽和功耗急剧增加，成为实现实用视频编解码系统的瓶颈。为了在不损失参考帧质量的前提下降低接入带宽和功耗，提出了一种基于逐像素自适应预测的无损参考帧压缩方法。该算法分别利用水平预测和垂直预测对第一行和第一列的像素进行分配。同时，计算水平和垂直两个方向系数来评价相邻样本之间的相似性。对于其余位置的像素，根据基于相似系数的适当模式决策方案，从左、上和左上相邻重建像素中自适应地将预测值分配给每个像素。最后对残差进行霍夫曼编码压缩，生成码流存入外部存储器。通过高效视频编码（HEVC）参考软件HEVC test model-16.5（HM-16.5）实现该算法，实验结果表明，该方法对亮度分量的数据压缩率平均可达63.83%。
Abstract. With the increasing size of video sequences, the dramatically increased access bandwidth and power consumption for fetching and storing reference frames with external memory during motion estimation become the bottleneck of realizing a practical video codec system. To reduce the access bandwidth and power consumption with no quality loss for reference frames, a lossless reference frame compression method based on pixelwise adaptive prediction is proposed. The algorithm allocates pixels from the first line and first column with horizontal prediction and vertical prediction separately. Meanwhile, two direction coefficients of horizontal and vertical are calculated to evaluate the similarity between two adjacent samples. For pixels in the rest locations, prediction value is assigned to every pixel adaptively from left, upper, and upper left adjacent reconstructed pixels according to the appropriate mode decision scheme based on similarity coefficients. At last, residuals are compressed by Huffman encoding process to generate bit-stream stored into external memory. By implementing the algorithm with high-efficiency video coding (HEVC) reference software HEVC test model-16.5 (HM-16.5), the experimental results show that the method can obtain 63.83% data reduction ratio averagely for luminance component.
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DOI：
10.1109/iscas.2010.5537728
发表时间：
2010-08
期刊：
Proceedings of 2010 IEEE International Symposium on Circuits and Systems
影响因子：
--
作者：
Liu Song;Dajiang Zhou;Xin Jin;S. Goto;Peilin Liu
通讯作者：
Liu Song;Dajiang Zhou;Xin Jin;S. Goto;Peilin Liu
用于高效 HEVC 运动估计的自适应分数像素运动估计跳过算法
DOI：
10.1145/3159170
发表时间：
2018-01-01
影响因子：
5.1
作者：
Pan, Zhaoqing;Lei, Jianjun;Wang, Fu Lee
通讯作者：
Wang, Fu Lee
DOI：
10.1109/iscas.2015.7168765
发表时间：
2015-05
期刊：
2015 IEEE International Symposium on Circuits and Systems (ISCAS)
影响因子：
--
作者：
D. Silveira;Guilherme Povala;Lívia Amaral;B. Zatt;L. Agostini;M. Porto
通讯作者：
D. Silveira;Guilherme Povala;Lívia Amaral;B. Zatt;L. Agostini;M. Porto
DOI：
10.1109/tcsvt.2010.2045923
发表时间：
2010-06
影响因子：
8.4
作者：
Jaemoon Kim;C. Kyung
通讯作者：
Jaemoon Kim;C. Kyung
影响因子：
4.3
作者：
Dongxiao Li;Wei Zheng;Ming Zhang
通讯作者：
Dongxiao Li;Wei Zheng;Ming Zhang