Abstract: A hash-based distributed video coding architecture has an encoder with an input video sequence organized in Groups of Pictures (GOPs) decomposed into key frames using H264/AVC Intra frame coding. The Wyner-Ziv (WZ) frames are encoded in two parts, a hash layer and a WZ layer. The WZ frames are quantized and each and then decorrelated using spatio-temporal prediction and entropy coded. The intra bit stream is H264/AVC decoded and the intra frames are stored in a reference frame buffer. The hash is decoded by inverting the tasks applied at the encoder, and the obtained bit planes are stored. Overlapped Block Motion Estimation and Probalistic Compensation (OBMEPC) is used to estimate the missing bit planes in the side-information. The decoder utilizes the hash information and the side information frame created by OBMEPC to perform online estimation of the correlation channel, and produces soft estimates used to decode the WZ bit planes.

Abstract: A method and apparatus is described for coding motion information in video processing of a stream of image frames and for avoiding the drift problem. The method or apparatus is for providing motion vectors of at least one image frame, and for coding the motion vectors to generate a quality-scalable representation of the motion vectors. The quality-scalable representation of motion vectors can comprise a set of base-layer motion vectors and a set of one or more enhancement-layers of motion vectors. The method of decoding and a decoder for such coded motion vectors as part of receiving and processing a bit stream at a receiver includes the base-layer of motion vectors being losslessly decoded, while the one or more enhancement layers of motion vectors are progressively received and decoded, optionally including progressive refinement of the motion vectors, eventually up to their lossless reconstruction.