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Video Coding using a 3-D Motion-Selective Wavelet Transform

使用 3-D 运动选择性小波变换的视频编码

基本信息

批准号：
0431051
负责人：
Ivan Selesnick
金额：
$ 10万
依托单位：
Polytechnic University of New York
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-01 至 2005-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0431051&HistoricalAwards=false
关键词：
Video Coding using Motion Selective

项目摘要

The transmission, storage, and related processing of video are important technical problems in today's society. Progress related to the efficient representation of video is of increasing importance for personal mobile electronics and for Internet applications. Video coding algorithms are often based on motion-compensated predictive coding. The project involves an original approach for video representation that is based on recent developments in wavelet theory: recently developed transforms are designedto overcome basic problems that degrade the performance of the wavelet transform when it is applied to multidimensional data using the standard separable implementation. The standard separable 3-D wavelet transform is rarely used for video compression because it mixes 3-D orientations in its subbands; this artifact reduces the effectiveness of the separable transform for providing an efficient representation of video. However, the new 3-D wavelet transform is free of the mixing artifact and gives a meaningful multi-scale decomposition for video. With the new transform, it is more likely that the multiresolution frame work, which has proved very effective for image compression and efficient feature extraction, can also be effectively applied to video representation. The new transform isolates motion in different directions in separate subbands, so the direction of motion can be inferred to some degree from the wavelet coefficients.

视频的传输、存储和相关处理是当今社会的重要技术问题。与视频的有效表示相关的进展对于个人移动的电子设备和因特网应用越来越重要。视频编码算法通常基于运动补偿预测编码。该项目涉及到一个原始的视频表示方法，是基于小波理论的最新发展：最近开发的transforms designedto克服基本问题，降低小波变换的性能时，它被应用到多维数据使用标准的可分离的实现。标准的可分离的3-D小波变换很少用于视频压缩，因为它在其子带中混合了3-D方向;这种伪影降低了可分离变换提供视频的有效表示的有效性。然而，新的3-D小波变换是免费的混合伪影，并给出了一个有意义的视频多尺度分解。有了新的变换，它是更有可能的多分辨率框架，这已被证明是非常有效的图像压缩和高效的特征提取，也可以有效地应用于视频表示。新的变换将不同方向上的运动隔离在单独的子带中，因此可以从小波系数在一定程度上推断运动的方向。