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Article: An object-based approach to image/video-based synthesis and processing for 3-D and multiview televisions

TitleAn object-based approach to image/video-based synthesis and processing for 3-D and multiview televisions
Authors
KeywordsDynamic image-based representations
Image-based rendering (iBR)
Object-based
Plenoptic videos
Issue Date2009
PublisherIEEE
Citation
Ieee Transactions On Circuits And Systems For Video Technology, 2009, v. 19 n. 6, p. 821-831 How to Cite?
AbstractThis paper proposes an object-based approach to a class of dynamic image-based representations called "plenoptic videos," where the plenoptic video sequences are segmented into image-based rendering (IBR) objects each with its image sequence, depth map, and other relevant information such as shape and alpha information. This allows desirable functionalities such as scalability of contents, error resilience, and interactivity with individual IBR objects to be supported. Moreover, the rendering quality in scenes with large depth variations can also be improved considerably. A portable capturing system consisting of two linear camera arrays was developed to verify the proposed approach. An important step in the object-based approach is to segment the objects in video streams into layers or IBR objects. To reduce the time for segmenting plenoptic videos under the semiautomatic technique, a new object tracking method based on the level-set method is proposed. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, extensions of conventional image processing algorithms to these IBR objects are studied and illustrated with examples. Experimental results are given to illustrate the efficiency of the tracking, matting, rendering, and processing algorithms under the proposed object-based framework. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/58831
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:

This work was supported in part by Hong Kong Research Grant Council (RGC) and the Innovation and Technology fund (ITF). Parts of this work were presented at the Conference of 2005 IEEE International Symposium on Circuits and Systems and the conference of Visual Communications and Image Processing 2005. This paper was recommended by Associate Editor J. Ostermann.

References

 

DC FieldValueLanguage
dc.contributor.authorChan, SCen_HK
dc.contributor.authorGan, ZFen_HK
dc.contributor.authorNg, KTen_HK
dc.contributor.authorHo, KLen_HK
dc.contributor.authorShum, HYen_HK
dc.date.accessioned2010-05-31T03:37:40Z-
dc.date.available2010-05-31T03:37:40Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Circuits And Systems For Video Technology, 2009, v. 19 n. 6, p. 821-831en_HK
dc.identifier.issn1051-8215en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58831-
dc.description.abstractThis paper proposes an object-based approach to a class of dynamic image-based representations called "plenoptic videos," where the plenoptic video sequences are segmented into image-based rendering (IBR) objects each with its image sequence, depth map, and other relevant information such as shape and alpha information. This allows desirable functionalities such as scalability of contents, error resilience, and interactivity with individual IBR objects to be supported. Moreover, the rendering quality in scenes with large depth variations can also be improved considerably. A portable capturing system consisting of two linear camera arrays was developed to verify the proposed approach. An important step in the object-based approach is to segment the objects in video streams into layers or IBR objects. To reduce the time for segmenting plenoptic videos under the semiautomatic technique, a new object tracking method based on the level-set method is proposed. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, extensions of conventional image processing algorithms to these IBR objects are studied and illustrated with examples. Experimental results are given to illustrate the efficiency of the tracking, matting, rendering, and processing algorithms under the proposed object-based framework. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEEen_HK
dc.relation.ispartofIEEE Transactions on Circuits and Systems for Video Technologyen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectDynamic image-based representationsen_HK
dc.subjectImage-based rendering (iBR)en_HK
dc.subjectObject-baseden_HK
dc.subjectPlenoptic videosen_HK
dc.titleAn object-based approach to image/video-based synthesis and processing for 3-D and multiview televisionsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1051-8215&volume=19&spage=821&epage=831&date=2009&atitle=An+object-based+approach+to+image/video-based+synthesis+and+processing+for+3-D+and+multiview+televisionsen_HK
dc.identifier.emailChan, SC: ascchan@hkucc.hku.hken_HK
dc.identifier.emailNg, KT: wktng@hku.hken_HK
dc.identifier.emailHo, KL: klho@eee.hku.hken_HK
dc.identifier.authorityChan, SC=rp00094en_HK
dc.identifier.authorityNg, KT=rp00157en_HK
dc.identifier.authorityHo, KL=rp00117en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TCSVT.2009.2017302en_HK
dc.identifier.scopuseid_2-s2.0-67649559306en_HK
dc.identifier.hkuros160810en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67649559306&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume19en_HK
dc.identifier.issue6en_HK
dc.identifier.spage821en_HK
dc.identifier.epage831en_HK
dc.identifier.isiWOS:000267608100004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridGan, ZF=7102935242en_HK
dc.identifier.scopusauthoridNg, KT=7403178463en_HK
dc.identifier.scopusauthoridHo, KL=7403581592en_HK
dc.identifier.scopusauthoridShum, HY=7006094115en_HK
dc.identifier.citeulike6043642-

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