Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
A framework for efficient progressive fine granularity scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
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This paper proposes an improved fine granular scalable (FGS) coding method with inter-layer prediction. There are mainly two important aspects to improve FGS coding efficiency in this paper. One is low bit-rate video coding method and the other is inter-layer prediction with enhancement layer reference at base-layer coding. The whole scalable coding performance with proposed method is greatly enhanced over a wide bandwidth. New spatial and temporal prediction methods are investigated in this paper in order to increase FGS base-layer low bit-rate coding efficiency. There are nine kinds of spatial prediction modes for intra coding to exploit pixels(tm) spatial correlation including DC and eight directional predictions, and multiple model-based motion prediction is utilized to predict large irregular motion for inter coding including 6-parameter affine model. The reference for motion compensation is adaptively selected from base layer or enhancement layer according to their prediction error. The references are reconstructed at two layers. The references for prediction and reconstruction can be different in order to decrease drifting error due to bit-stream truncation. The coding efficiency of our base layer coding can be comparable with that of latest draft H.26L and holds a compelling improvement compared to MPEG-4. With our proposed scalable coding scheme, the whole FGS coding efficiency can be improved about 2.0dB at low bit-rate, and 3.0-4.0dB at medium or high bit-rate. Visual quality of decoded video is also impressively improved at all decoded bit-rates.