This paper presents a new 3-D subband coding framework that is able to achieve a good balance between high compression performance and channel error resilience. Various data transform methods for the decorrelation of video were examined and compared, including subband filtering, discrete cosine transforms, discrete wavelet transforms, and lapped transforms. The coding stage of the algorithm is based on a generalized adaptive quantization framework, which is applied to the 3-D transformed coefficients. More specifically, it features a simple coding structure based on quadtree coding and lattice vector quantization techniques. In typical applications, good performance at high compression ratios is obtained often without entropy coding. Furthermore, because temporal decorrelation is absorbed by the transform, traditional motion compensated prediction becomes not necessary, which results in a significant computational advantage over standard video coders. The error-resilience feature is ac...
Hong Man, Ricardo L. de Queiroz, Mark J. T. Smith