Deployment of wavelet transform to VOP codec scheme

L. Konyha, S. Tran, K. Fazekas, A. Gschwindt
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引用次数: 1

Abstract

The work explains the way we deploy the wavelet transform in the object-based video codec scheme proposed in our previous research (see Tran, S.M. et al., J. Commun. and IT Sciences Association, vol.LVI, no.4, 2001). Video objects are first extracted from a conventional frame-based video sequence. By representing the video objects of interest with the so-called constrained Delaunay mesh structures, we could transmit their shapes and patterns in an efficient way: mesh-nodes are tracked forward to reconstruct their new position and therefore their shape at the latter time point; the pattern of the mesh is predicted from the dense field of backward motion vectors, then they are compensated with residual errors for a "perfect" reconstruction. In the current work, the wavelet transform is applied to encode residual errors, the most bit-consuming information. Thanks to the multiresolution character of the wavelet transform, which leads to superior energy compaction and perceptual quality of the decompressed residual errors, the method surpasses the compression offered by the block-DCT in the initial phase. The overall performance of the full scheme is encouraging.
小波变换在VOP编解码器中的应用
这项工作解释了我们在之前的研究中提出的基于对象的视频编解码器方案中部署小波变换的方式(参见Tran, S.M.等人,J. comm。和IT科学协会,vol.LVI, no。4, 2001)。首先从传统的基于帧的视频序列中提取视频对象。通过用所谓的约束德劳内网格结构来表示感兴趣的视频对象,我们可以有效地传输它们的形状和图案:网格节点被向前跟踪以重建它们的新位置,从而重建它们在后一个时间点的形状;从逆向运动向量的密集场中预测网格的模式,然后用残差进行补偿,以获得“完美”的重建。在目前的工作中,采用小波变换对残差进行编码,残差是最耗比特的信息。由于小波变换的多分辨率特性,使得解压缩后的残差具有较好的能量压缩和感知质量,因此该方法在初始阶段优于块dct的压缩效果。整个计划的整体表现令人鼓舞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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