Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia application.
视频对象分割技术同时也是基于内容的视频编码、视频内容操作和交互式多媒体等应用的重要工具。
Scalable coding and shape coding are two pivotal techniques in MPEG-4 video coding.
可扩展编码和形状编码技术是MPEG - 4视频编码部分的两个关键技术。
Video object segmentation techniques are also important tools for content-based video coding and manipulation, and interactive multimedia applications.
视频对象分割技术同时也是基于内容的视频编码、视频内容的操纵和交互式多媒体等应用的重要工具。
According to the demand of information transmission in online video teaching, some key techniques such as streaming coding and bite rate control for network bandwidth are studied.
针对网上教学视频信息传输的需求，对视频传输所涉及的流媒体编码、网络带宽自适应等一些关键技术做了研究。
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。
Coding of arbitrarily shaped image is one of the core techniques in MPEG 4 video compression. One approach to transform an arbitrarily shaped image region is addressed.
任意形状图象对象的变换编码方法是MPEG -4视频编码实现的核心技术之一。
With huge data included in the digitized information, the development of the data compression techniques, especially the video coding and decoding technology, becames important.
随着信息数字化带来的数据量的急剧增加，数据压缩特别是视频信息编解码技术显得越来越重要。
We address the scalable video bitstream protection and adaptation problem by a set of joint source network coding techniques for robust streaming video to heterogeneous users simultaneously.
论文通过相关的信源网络联合编码技术解决了可分级码流的保护和自适应问题，将其用于同时面向异构用户的流媒体鲁棒传输。
We address the scalable video bitstream protection and adaptation problem by a set of joint source network coding techniques for robust streaming video to heterogeneous users simultaneously.
论文通过相关的信源网络联合编码技术解决了可分级码流的保护和自适应问题，将其用于同时面向异构用户的流媒体鲁棒传输。
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