Journal ArticleDOI
A framework for efficient progressive fine granularity scalable video coding
Feng Wu,Shipeng Li,Ya-Qin Zhang +2 more
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TLDR
Experimental results show that the PFGS framework can improve the coding efficiency up to more than 1 dB over the FGS scheme in terms of average PSNR, yet still keeps all the original properties, such as fine granularity, bandwidth adaptation, and error recovery.Abstract:
A basic framework for efficient scalable video coding, namely progressive fine granularity scalable (PFGS) video coding is proposed. Similar to the fine granularity scalable (PGS) video coding in MPEG-4, the PFGS framework has all the features of FGS, such as fine granularity bit-rate scalability, channel adaptation, and error recovery. On the other hand, different from the PGS coding, the PFGS framework uses multiple layers of references with increasing quality to make motion prediction more accurate for improved video-coding efficiency. However, using multiple layers of references with different quality also introduces several issues. First, extra frame buffers are needed for storing the multiple reconstructed reference layers. This would increase the memory cost and computational complexity of the PFGS scheme. Based on the basic framework, a simplified and efficient PFGS framework is further proposed. The simplified PPGS framework needs only one extra frame buffer with almost the same coding efficiency as in the original framework. Second, there might be undesirable increase and fluctuation of the coefficients to be coded when switching from a low-quality reference to a high-quality one, which could partially offset the advantage of using a high-quality reference. A further improved PFGS scheme can eliminate the fluctuation of enhancement-layer coefficients when switching references by always using only one high-quality prediction reference for all enhancement layers. Experimental results show that the PFGS framework can improve the coding efficiency up to more than 1 dB over the FGS scheme in terms of average PSNR, yet still keeps all the original properties, such as fine granularity, bandwidth adaptation, and error recovery. A simple simulation of transmitting the PFGS video over a wireless channel further confirms the error robustness of the PFGS scheme, although the advantages of PFGS have not been fully exploited.read more
Citations
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Journal ArticleDOI
Combining visual MPEG tools in the context of video adaptability
TL;DR: The paper elaborates upon the proposed coding architectures and compatibility with published MPEG standards and it is shown that the proposed spatial encoder is superior to all the aforementioned codecs whilst enjoying an extensible architecture capable of serving restricted end systems and hosting additional scalable layers.
Journal ArticleDOI
Quantizer Design to Exploit Common Information in Layered and Scalable Coding
TL;DR: In this paper, a layered coding framework with a relaxed hierarchical structure is proposed to serve content at multiple quality levels, where a key challenge is the conflict between coding optimality at each layer and efficient use of storage and networking resources.
DissertationDOI
Adaptive wireless multimedia communication systems
TL;DR: Joint source and channel coding optimization is investigated in a 2D time-frequency resource block for an OFDM system, and it is shown that knowing the order of diversity in time and/or frequency domain can assist image (video) coding in selecting optimal channel code rates.
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Journal ArticleDOI
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Journal ArticleDOI
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