Correlation Noise-Based Unequal Error Protected Rate-Adaptive Codes for Distributed Video Coding

Distributed video coding (DVC) is a paradigm that can shift most of the computational intensive tasks from the encoder to the decoder. This allows for the design of low complexity encoders that can be deployed in devices equipped with limited resources. However, the compression efficiency obtained u...

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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 24; číslo 1; s. 127 - 140
Hlavní autori:	Micallef, Jeffrey J., Farrugia, Reuben A., Debono, Carl James
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.01.2014 Institute of Electrical and Electronics Engineers
Predmet:	Applied sciences Circuit properties Coding, codes Correlation Correlation noise modeling Decoding distributed video coding (DVC) Electric, optical and optoelectronic circuits Electronic circuits Electronics Encoding Exact sciences and technology Image processing Information, signal and communications theory low-density parity-check codes Parity check codes Reliability Sampling, quantization Signal and communications theory Signal convertors Signal processing Silicon Syner-Ziv (WZ) video coding Telecommunications and information theory Video coding Video coding Performance evaluation Wyner―Ziv (WZ) video coding State of the art Correlation noise modeling Error rate Information rate Modeling Correlation method Video signal processing Codec Signal quantization Traffic control Parity check codes Random medium low-density parity-check codes Coding circuit Flow rate regulation Teletraffic Quantum effect Information transmission Adaptive coding Interpolation Traffic management distributed video coding (DVC) Predictive coding Error correcting code Wyner Ziv problem
ISSN:	1051-8215, 1558-2205
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Popis
Shrnutí:	Distributed video coding (DVC) is a paradigm that can shift most of the computational intensive tasks from the encoder to the decoder. This allows for the design of low complexity encoders that can be deployed in devices equipped with limited resources. However, the compression efficiency obtained using practical DVC codecs are still distant from those of traditional predictive video coding schemes such as H.264/AVC. One of the limitations of the existing DVC architectures is that they consider the correlation noise to be randomly distributed across the whole video frame. This paper shows that the Syner-Ziv (WZ) values that are closer to the endpoints of the quantization intervals have a higher probability of producing incorrect side information (SI) predictions. Thus, through this knowledge, rate-adaptive low-density parity-check accumulate codes that provide a higher level of protection to the unreliable SI bits can be exploited. Experimental results show that the proposed scheme can reduce the WZ bit-rate up to 13% relative to the state-of-the-art DISCOVER architecture when considering interpolation techniques and by up to 0.9 dB for extrapolation techniques.
ISSN:	1051-8215 1558-2205
DOI:	10.1109/TCSVT.2013.2273630