首页> 外文期刊>IEEE Transactions on Circuits and Systems for Video Technology >Interframe difference quadtree edge-based side-match finite-state classified vector quantization for image sequence coding
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Interframe difference quadtree edge-based side-match finite-state classified vector quantization for image sequence coding

机译:基于帧间差分四叉树边缘的边匹配有限状态分类矢量量化的图像序列编码

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Very low bit rate image sequence coding is very important for video transmission and storage applications. The fundamental goal of image sequence coding is to remove spatial redundancy and only update the moving parts in an image sequence so that the total information bits required for storage or transmission can be greatly reduced. In our proposed approach, each frame within an image sequence will be separated into moving and stationary blocks. Only the moving blocks need to be transmitted to the decoder, so that the total number of bits and computing time are greatly reduced. The moving blocks will be encoded by edge-based side-match finite-state classified vector quantization (EBSMCVQ). Moreover, a quadtree can be also used to represent the moving and edge information for each frame. In order to reduce the number of bits for the quadtree, we propose a new difference quadtree technique that only transmits the different parts between the previous frame's quadtree and the current frame's quadtree. In the proposed interframe difference quadtree EBSMCVQ image sequence coding scheme, the average bit rate of each frame is reduced to 0.0393 b/pixel and the PSNR is still up to 35.40 dB for image sequence Claire.
机译:非常低的比特率图像序列编码对于视频传输和存储应用非常重要。图像序列编码的基本目标是消除空间冗余并且仅更新图像序列中的运动部分,从而可以大大减少存储或传输所需的总信息位。在我们提出的方法中,图像序列中的每个帧都将分为运动块和静止块。仅需要将运动块发送到解码器,从而大大减少了位数和计算时间。这些运动块将通过基于边缘的边匹配有限状态分类矢量量化(EBSMCVQ)进行编码。此外,四叉树还可以用于表示每个帧的运动和边缘信息。为了减少四叉树的位数,我们提出了一种新的差分四叉树技术,该技术仅传输前一帧的四叉树和当前帧的四叉树之间的不同部分。在提出的帧间差异四叉树EBSMCVQ图像序列编码方案中,对于图像序列Claire,每帧的平均比特率降低到0.0393 b /像素,PSNR仍高达35.40 dB。

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