An efficient streaming and decoding architecture for stored FGS video

Fine granularity scalability (FGS) is the latest video-coding tool provided in Amendment 2 of the MPEG-4 standard. By taking advantage of bitplane coding of DCT residues, the compressed bitstream can tie truncated at any location to support the finest rate scalability in the enhancement layer. However, both frame buffer scanning several times in bitplane decoding and frame duplication simultaneously for base and enhancement layer decoding make FGS difficult in its implementation. We propose a corresponding pair of efficient streaming schedule and pipeline decoding architecture to deal with the prescribed problems. The design may be applied to the case of streaming stored FGS videos and benefit FGS-related applications.