Re-estimation of Motion and Reconstruction for Distributed Video Coding

Transform domain Wyner-Ziv (TDWZ) video coding is an efficient approach to distributed video coding (DVC), which provides low complexity encoding by exploiting the source statistics at the decoder side. The DVC coding efficiency depends mainly on side information and noise modeling. This paper propo...

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Veröffentlicht in:IEEE transactions on image processing Jg. 23; H. 7; S. 2804 - 2819
Hauptverfasser: Huynh Van Luong, Raket, Lars Lau, Forchhammer, Soren
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.07.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Applied sciences
Coding, codes
Decoding
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Image processing
Image reconstruction
Information, signal and communications theory
Noise
Optical imaging
Optical sensors
Signal and communications theory
Signal processing
Signal, noise
Silicon
Telecommunications and information theory
Video coding
residual motion compensation
optical flow
generalized reconstruction
motion reestimation
Distributed video coding
Video coding
Performance evaluation
Motion estimation
Image processing
Updating
Decoding
Algorithm
Modeling
Video signal processing
Learning
Codec
Group of pictures
Residual impurity
Signal processing
Motion compensation
Wyner Ziv problem
Optical flow
Signal to noise ratio
ISSN:1057-7149, 1941-0042, 1941-0042
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Zusammenfassung:Transform domain Wyner-Ziv (TDWZ) video coding is an efficient approach to distributed video coding (DVC), which provides low complexity encoding by exploiting the source statistics at the decoder side. The DVC coding efficiency depends mainly on side information and noise modeling. This paper proposes a motion re-estimation technique based on optical flow to improve side information and noise residual frames by taking partially decoded information into account. To improve noise modeling, a noise residual motion re-estimation technique is proposed. Residual motion compensation with motion updating is used to estimate a current residue based on previously decoded frames and correlation between estimated side information frames. In addition, a generalized reconstruction algorithm to optimize a multihypothesis reconstruction is proposed. The proposed techniques using motion and reconstruction re-estimation (MORE) are integrated in the SING TDWZ codec, which uses side information and noise learning. For Wyner-Ziv frames using GOP size 2, the MORE codec significantly improves the TDWZ coding efficiency with an average (Bjøntegaard) PSNR improvement of 2.5 dB and up to 6 dB improvement compared with DISCOVER.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2014.2320364