视差估值是立体视频编码的重要组成部分。
Disparity estimation is an important part of stereo video coding.
立体视频编码中的关键问题之一就是视差估值。
One important problem in the stereo sequence is disparity estimation.
视频目标分割与立体匹配是目标基立体视频编码中的核心技术。
Video object segmentation and stereo correspondence is a key technology in object-based stereo video coding.
基于4维矩阵dCT变换理论提出了一种有效的立体视频编码方法。
Based on 4d matrix DCT (4d-mdct) theory, an efficient stereo video coding method was proposed in this paper.
视间预测是消除视点间的数据冗余最常采用的方法，也是立体视频编码的关键技术。
Disparity prediction is a commonly used method to realize the data redundancy and also a key technology for stereo video coding.
论文系统地介绍了成熟的立体视频编码算法，并按照预测方式的不同把这些算法分为三类。
This dissertation classifies conventional stereo video coding algorithms into three types according to different prediction modes, and describes them in detail.
本文在分析立体图象序列的视差矢量与运动矢量之间的相关性的基础上，提出一种基于MPEG - 2的立体视频编码中的视差匹配快速算法。
On the basis of analyzing the correlation between disparity vector and motion vector, a fast disparity correspondence estimation algorithm for stereo video coding, based on MPEG-2, was presented.
提出一种面向立体视频的比特分配与码率控制算法以提高立体视频的编码效率和码流可靠性。
A new bit-allocation and rate-control algorithm for stereo video coding was proposed to improve its coding efficiency and stream reliability.
提出一种面向立体视频的比特分配与码率控制算法以提高立体视频的编码效率和码流可靠性。
A new bit-allocation and rate-control algorithm for stereo video coding was proposed to improve its coding efficiency and stream reliability.
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