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Article: Object-based coding for plenoptic videos

TitleObject-based coding for plenoptic videos
Authors
KeywordsIBR object coding
Image-based rending
MPEG-4
Object-based coding
Plenoptic videos
Issue Date2010
PublisherIEEE
Citation
Ieee Transactions On Circuits And Systems For Video Technology, 2010, v. 20 n. 4, p. 548-562 How to Cite?
AbstractA new object-based coding system for a class of dynamic image-based representations called plenoptic videos (PVs) is proposed. PVs are simplified dynamic light fields, where the videos are taken at regularly spaced locations along line segments instead of a 2-D plane. In the proposed object-based approach, objects at different depth values are segmented to improve the rendering quality. By encoding PVs at the object level, desirable functionalities such as scalability of contents, error resilience, and interactivity with an individual image-based rendering (IBR) object can be achieved. Besides supporting the coding of texture and binary shape maps for IBR objects with arbitrary shapes, the proposed system also supports the coding of grayscale alpha maps as well as depth maps (geometry information) to respectively facilitate the matting and rendering of the IBR objects. Both temporal and spatial redundancies among the streams in the PV are exploited to improve the coding performance, while avoiding excessive complexity in selective decoding of PVs to support fast rendering speed. Advanced spatial/temporal prediction methods such as global disparity-compensated prediction, as well as direct prediction and its extensions are developed. The bit allocation and rate control scheme employing a new convex optimization-based approach are also introduced. Experimental results show that considerable improvements in coding performance are obtained for both synthetic and real scenes, while supporting the stated object-based functionalities. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/128744
ISSN
2015 Impact Factor: 2.254
2015 SCImago Journal Rankings: 1.606
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grant Council (RGC)
Innovation and Technology Fund (ITF)
Funding Information:

Manuscript received July 3, 2008; revised July 4, 2009. First version published January 29, 2010; current version published April 2, 2010. This work was supported in part by the Hong Kong Research Grant Council (RGC) and the Innovation and Technology Fund (ITF). Parts of this paper were presented at the IEEE International Conference on Image Processing, 2005 [57], and the International Symposium of Intelligent Signal Processing and Communication Systems, 2005 [58]. This paper was recommended by Associate Editor, L. Onural.

References

 

DC FieldValueLanguage
dc.contributor.authorNg, KTen_HK
dc.contributor.authorWu, Qen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorShum, HYen_HK
dc.date.accessioned2010-11-03T07:22:37Z-
dc.date.available2010-11-03T07:22:37Z-
dc.date.issued2010en_HK
dc.identifier.citationIeee Transactions On Circuits And Systems For Video Technology, 2010, v. 20 n. 4, p. 548-562en_HK
dc.identifier.issn1051-8215en_HK
dc.identifier.urihttp://hdl.handle.net/10722/128744-
dc.description.abstractA new object-based coding system for a class of dynamic image-based representations called plenoptic videos (PVs) is proposed. PVs are simplified dynamic light fields, where the videos are taken at regularly spaced locations along line segments instead of a 2-D plane. In the proposed object-based approach, objects at different depth values are segmented to improve the rendering quality. By encoding PVs at the object level, desirable functionalities such as scalability of contents, error resilience, and interactivity with an individual image-based rendering (IBR) object can be achieved. Besides supporting the coding of texture and binary shape maps for IBR objects with arbitrary shapes, the proposed system also supports the coding of grayscale alpha maps as well as depth maps (geometry information) to respectively facilitate the matting and rendering of the IBR objects. Both temporal and spatial redundancies among the streams in the PV are exploited to improve the coding performance, while avoiding excessive complexity in selective decoding of PVs to support fast rendering speed. Advanced spatial/temporal prediction methods such as global disparity-compensated prediction, as well as direct prediction and its extensions are developed. The bit allocation and rate control scheme employing a new convex optimization-based approach are also introduced. Experimental results show that considerable improvements in coding performance are obtained for both synthetic and real scenes, while supporting the stated object-based functionalities. © 2006 IEEE.en_HK
dc.languageeng-
dc.publisherIEEE-
dc.relation.ispartofIEEE Transactions on Circuits and Systems for Video Technologyen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectIBR object codingen_HK
dc.subjectImage-based rendingen_HK
dc.subjectMPEG-4en_HK
dc.subjectObject-based codingen_HK
dc.subjectPlenoptic videosen_HK
dc.titleObject-based coding for plenoptic videosen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1051-8215&volume=20&issue=4&spage=548&epage=562&date=2010&atitle=Object-based+coding+for+plenoptic+videos-
dc.identifier.emailNg, KT: wktng@hku.hken_HK
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_HK
dc.identifier.authorityNg, KT=rp00157en_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TCSVT.2010.2041820en_HK
dc.identifier.scopuseid_2-s2.0-77951122418en_HK
dc.identifier.hkuros183149-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77951122418&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume20en_HK
dc.identifier.issue4en_HK
dc.identifier.spage548en_HK
dc.identifier.epage562en_HK
dc.identifier.isiWOS:000276681000008-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridNg, KT=7403178463en_HK
dc.identifier.scopusauthoridWu, Q=52763969700en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridShum, HY=7006094115en_HK

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