The proposed fine granularity scalable video coding algorithm has low computational complexity.
本文研究实现的细粒度视频分层编码算法计算复杂度较低。
In this paper, a new intra prediction algorithm for enhancement layer in spatially scalable video coding is proposed.
针对空间可扩展视频编码，提出了一种新的增强层上的帧内预测算法。
In this paper, we present a novel structure for spatially scalable video coding, that is, fine-granularity spatially scalable coding.
提出了一种新颖的空间可伸缩视频编码方案-精细粒度空间可伸缩编码。
This paper makes a deep insight into two problems of object-based fine granular scalable video coding in the wavelet domain, namely video object coding and motion estimation techniques.
本文对基于对象的小波域视频细粒度可分级编码中的两个关键问题，即视频对象编码和运动估计技术进行了深入研究。
Study of Scalable Video Coding Based on Lifting Wavelet Motion Compensation Technology;
现有的比较成熟的可伸缩编码框架是基于运动补偿时域滤波技术的。
Scalable video coding(SVC) technology is a new domain in the processing of image and video, and there are many results of SVC at present.
可伸缩性视频编码（SVC）技术是图像和视频处理中一个新的研究领域，近年来取得了很多成果。
Scalable video coding based on MCTF (motion compensated temporal filtering) has been thought of as the important study field for it's validity of removing temporal correlation.
基于运动补偿时间滤波的可伸缩视频编码因其能有效去除时间相关性，而成为视频标准组织目前研究的热点。
Scalable video coding based on MCTF (motion compensated temporal filtering) has been thought of as the important study field for it's validity of removing temporal correlation.
基于运动补偿时间滤波的可伸缩视频编码因其能有效去除时间相关性，而成为视频标准组织目前研究的热点。
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