Interactive Content-aware Video Streaming System with Fine Granularity Scalability
Journal of VLSI Signal Processing Systems
Journal of Visual Communication and Image Representation
A framework for adaptive scalable video coding using Wyner-Ziv techniques
EURASIP Journal on Applied Signal Processing
Robust video region-of-interest coding based on leaky prediction
IEEE Transactions on Circuits and Systems for Video Technology
A study on new scalable video coding for quality control
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Journal of Visual Communication and Image Representation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Optimizing motion compensated prediction for error resilient video coding
IEEE Transactions on Image Processing
Novel prediction schemes for error resilient video coding
Image Communication
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
A novel rate-distortion model for leaky prediction based FGS video coding
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
A cross-resolution leaky prediction scheme for in-band wavelet video coding with spatial scalability
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Parameter selection of robust fine granularity scalable video coding over MPEG-4
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
Reference frame modification techniques for temporal and spatial scalability
Image Communication
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Recently, the MPEG-4 committee has approved the MPEG-4 fine granularity scalability (FGS) profile as a streaming video tool. We propose novel techniques to improve further the temporal prediction at the enhancement layer so that coding efficiency is superior to the existing FGS. Our approach utilizes two parameters, the number of bitplanes, β (0⩽β⩽maximal number of bitplanes), and the amount of predictive leak, α (0⩽α⩽1), to control the construction of the reference frame at the enhancement layer. Parameters α and β can be selected for each frame to provide tradeoffs between coding efficiency and error drift. Our approach offers a general and flexible framework that allows further optimization. It also includes several well-known motion-compensated FGS techniques as special cases with particular sets of α and β. We analyze the theoretical advantages when α and β are used, and provide an adaptive technique to select α and β, which yields an improved performance as compared to that of fixed parameters. An identical technique is applied to the base layer for further improvement. Our experimental results show over 4 dB improvements in coding efficiency using the MPEG-4 testing conditions. Removal of error propagation is demonstrated with several typical channel transmission scenarios