多媒体网络视频图像压缩传输补偿优化仿真

多媒体网络视频图像压缩传输补偿优化仿真
张慧
【期刊名称】《计算机仿真》
【年(卷),期】2017(034)012
【摘要】随着多媒体网络视频种类的不断增加,使得多媒体网络视频图像多样化,传统的多媒体网络视频图像在进行压缩传输补偿时,由于采集过程视频图像特征丢失量不同,多媒体网络视频图像出现的损坏程度也存在一定差异,导致压缩传输补偿误差大、效率低.提出基于多尺度字典学习的多媒体网络视频图像压缩传输补偿优化方法.先对多媒体网络视频图像采集信息系统原理进行分析,并以此为基础,采用交叉验证计算视频图像重构方法终止迭代的判据参数,利用视频图像测试集的测量矩阵对图像解码重构,采用K均值奇异值分解方法学习获得视频图像尺寸不同的多尺度字典,结合筛选因子对图像多尺度字典原子进行优化筛选量化编码,利用自适应的量化编码完成压缩.仿真证明,在多媒体网络视频图像压缩传输时,改进补偿方法,相比传统补偿方法其多媒体网络视频图像组包效率高,压缩传输补偿实时性也得到了改善,具有一定的优势.%The paper proposes a method of multimedia network video compression and transmission compensation optimization based on multi-scale dictionary learning.First,the principle of multimedia network video image information acquisition system was analyzed,and on this basis,the cross validation criterion was used to terminate the iteration calculation of video image reconstruction method.The measurement matrix video image test set of image was used to decode and reconstruct the images,and the mean K singular value decomposition method was
used to obtain multiscale dictionary learning video images of different sizes.With the screening factor,the quantization encoding of image multiscale dictionary was optimized,and compression was completed using adaptive quantization encoding.The experiments show that in the multimedia network video image compression and transmission,the improved compensation method has high efficiency in packeting multimedia network video images,and the real-time performance of compression and transmission compensation is also improved.
【总页数】5页(P173-176,312)
【作者】张慧
【作者单位】中州大学信息工程学院,河南郑州450000
【正文语种】中文
【中图分类】TN919.8
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