Wavelet based rate scalable video compression

In this paper, we present a new wavelet based rate scalable video compression algorithm. We shall refer to this new technique as the Scalable Adaptive Motion COmpensated Wavelet (SAMCoW) algorithm. SAMCoW uses motion compensation to reduce temporal redundancy. The prediction error frames and the intra-coded frames are encoded using an approach similar to the embedded zerotree wavelet (EZW) coder. observed. An adaptive motion compensation (AMC) scheme is described to address error propagation problems. We show that using our AMC scheme the quality of the decoded video can be maintained at various data rates. correlation. large transitions, it is highly likely for the luminance signal to have large transitions. We also describe an EZW approach that exploits the interdependency between color components in the luminance/chrominance color space. We show that in addition to providing a wide range of rate scalability, our encoder achieves comparable performance to the more traditional hybrid video coders, such as MPEG1 and H.263. Furthermore, our coding scheme allows the data rate to be dynamically changed during decoding, which is very appealing for network oriented applications.