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Treffer: Re-estimation of Motion and Reconstruction for Distributed Video Coding

Title:
Re-estimation of Motion and Reconstruction for Distributed Video Coding
Source:
IEEE transactions on image processing. 23(7-8):2804-2819
Publisher Information:
New York, NY: Institute of Electrical and Electronics Engineers, 2014.
Publication Year:
2014
Physical Description:
print, 31 ref
Original Material:
INIST-CNRS
Subject Terms:
Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Telecommunications et theorie de l'information, Telecommunications and information theory, Théorie de l'information, du signal et des communications, Information, signal and communications theory, Théorie du signal et des communications, Signal and communications theory, Signal, bruit, Signal, noise, Détection, estimation, filtrage, égalisation, prédiction, Detection, estimation, filtering, equalization, prediction, Codage, codes, Coding, codes, Traitement du signal, Signal processing, Traitement des images, Image processing, Algorithme, Algorithm, Algoritmo, Apprentissage, Learning, Aprendizaje, Codage vidéo, Video coding, Codec, Compensation mouvement, Motion compensation, Décodage, Decoding, Desciframiento, Estimation mouvement, Motion estimation, Estimación movimiento, Evaluation performance, Performance evaluation, Evaluación prestación, Flux optique, Optical flow, Flujo óptico, Impureté résiduelle, Residual impurity, Impureza residual, Mise à jour, Updating, Actualización, Modélisation, Modeling, Modelización, Problème de Wyner Ziv, Wyner Ziv problem, Problema de Wyner Ziv, Rapport signal bruit, Signal to noise ratio, Relación señal ruido, Traitement image, Image processing, Procesamiento imagen, Traitement signal vidéo, Video signal processing, Traitement signal, Signal processing, Procesamiento señal, Groupe d'images, Group of pictures, Distributed video coding, generalized reconstruction, motion reestimation, optical flow, residual motion compensation
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Photonics Engineering, Technical University of Denmark, Kgs. Lyngby 2800, Denmark
Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark
ISSN:
1057-7149
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.28733702
Database:
PASCAL Archive

Weitere Informationen

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.