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Successive refinement of side information for multi-view distributed video coding

Bibliographic Details
Main Author: Lucian Ciobanu
Publication Date: 2010
Other Authors: Luís Corte Real
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://repositorio.inesctec.pt/handle/123456789/1729
Summary: Inter-camera registration in multi-view systems with overlapped views has a particularly long and sophisticated research history within the computer vision community. Moreover, when applied to Distributed Video Coding, in systems with at least one moving camera it represents a real challenge due to the necessary data at decoder for generating the side information without any a priori knowledge of each instant camera position. This paper proposes a solution to this problem based on successive multi-view registration and motion compensated extrapolation for on-the-fly re-correlation of two views at decoder. This novel technique for side information generation is codec-independent, robust and flexible with regard to any free motion of the cameras. Furthermore, it doesn't require any additional information from encoders nor communication between cameras or offline training stage. We also propose a metric for an objective assessment of the multi-view correlation performance.
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spelling Successive refinement of side information for multi-view distributed video codingInter-camera registration in multi-view systems with overlapped views has a particularly long and sophisticated research history within the computer vision community. Moreover, when applied to Distributed Video Coding, in systems with at least one moving camera it represents a real challenge due to the necessary data at decoder for generating the side information without any a priori knowledge of each instant camera position. This paper proposes a solution to this problem based on successive multi-view registration and motion compensated extrapolation for on-the-fly re-correlation of two views at decoder. This novel technique for side information generation is codec-independent, robust and flexible with regard to any free motion of the cameras. Furthermore, it doesn't require any additional information from encoders nor communication between cameras or offline training stage. We also propose a metric for an objective assessment of the multi-view correlation performance.2017-11-16T12:44:40Z2010-01-01T00:00:00Z2010info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/1729engLucian CiobanuLuís Corte Realinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T02:20:21Zoai:repositorio.inesctec.pt:123456789/1729Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:56:43.898869Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Successive refinement of side information for multi-view distributed video coding
title Successive refinement of side information for multi-view distributed video coding
spellingShingle Successive refinement of side information for multi-view distributed video coding
Lucian Ciobanu
title_short Successive refinement of side information for multi-view distributed video coding
title_full Successive refinement of side information for multi-view distributed video coding
title_fullStr Successive refinement of side information for multi-view distributed video coding
title_full_unstemmed Successive refinement of side information for multi-view distributed video coding
title_sort Successive refinement of side information for multi-view distributed video coding
author Lucian Ciobanu
author_facet Lucian Ciobanu
Luís Corte Real
author_role author
author2 Luís Corte Real
author2_role author
dc.contributor.author.fl_str_mv Lucian Ciobanu
Luís Corte Real
description Inter-camera registration in multi-view systems with overlapped views has a particularly long and sophisticated research history within the computer vision community. Moreover, when applied to Distributed Video Coding, in systems with at least one moving camera it represents a real challenge due to the necessary data at decoder for generating the side information without any a priori knowledge of each instant camera position. This paper proposes a solution to this problem based on successive multi-view registration and motion compensated extrapolation for on-the-fly re-correlation of two views at decoder. This novel technique for side information generation is codec-independent, robust and flexible with regard to any free motion of the cameras. Furthermore, it doesn't require any additional information from encoders nor communication between cameras or offline training stage. We also propose a metric for an objective assessment of the multi-view correlation performance.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01T00:00:00Z
2010
2017-11-16T12:44:40Z
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