Hybrid video coding based on bidimensional matching pursuit
EURASIP Journal on Applied Signal Processing
Bits allocation of matching pursuit video coder based on visual properties
CGIM '07 Proceedings of the Ninth IASTED International Conference on Computer Graphics and Imaging
Atom position coding in a matching pursuit based video coder
VLBV'05 Proceedings of the 9th international conference on Visual Content Processing and Representation
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Because channel capacity varies depending on network traffic and the capacity of each reception, fine granularity scalability (FGS) of video coding has emerged as an important area in multimedia streaming applications. We propose an FGS video codec and a two-layer signal-to-noise ratio (SNR) scalable video codec, based on matching pursuits and bitplane coding. The temporal and spatial redundancy of atom positions between adjacent bitplanes are explored using the quadtree representation for a bitplane and the quadtree prediction algorithm. The efficiency of encoding atom positions is evaluated. Our FGS combines successive bitplane quantization of atom modula and quadtree prediction of atom positions. The performance of our FGS is compared with that of the discrete-cosine-transform-based FGS codec. The quality of a base layer or enhancement layer video in a two-layer scalable video codec can be adjusted without changing the bit rates. We propose using a combined frame obtained from the combination of the reconstructed base layer and enhancement layer images to estimate motion vectors. The performance of our two-layer codec is illustrated.