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。
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.
首先，详细介绍了它支持的时域、空域、SNR粗粒度可分级(CGS)和SNR精细粒度可分级(FGS)编码的原理和实现；最后，对视频可分级编码技术的应用前景进行了总结。
Firstly, the principle and implementation of temporal Scalability, spatial Scalability, SNR Coarse-grain Scalability (CGS) and SNR Fine-grain Scalability (FGS) Video Coding are introduced in detail.
首先，详细介绍了它支持的时域、空域、SNR粗粒度可分级(CGS)和SNR精细粒度可分级(FGS)编码的原理和实现；最后，对视频可分级编码技术的应用前景进行了总结。
Firstly, the principle and implementation of temporal Scalability, spatial Scalability, SNR Coarse-grain Scalability (CGS) and SNR Fine-grain Scalability (FGS) Video Coding are introduced in detail.
应用推荐