近几年来，视频编码的研究集中在两个方面，一是低比特率编码，二是基于对象的视频编码。
The research of video coding is mainly focused on two aspects in recent years, one is the very low-bit rate coding, the other is the video coding based on objects.
并指出基于小波变换的SPIHT编码算法具有对水下图像低比特率编码性能好、可以与纠错技术结合使用等特点。
Our research has showed that SPIHT performs better than JPEG while the underwater images are coded in low bit rate. SPIHT also has a good progressive transmission characteristic.
提出一个用于低比特率视频编码的快速块匹配运动估计算法。
A fast block matching motion estimation algorithm for low bit rate video coding is proposed.
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