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Article: Convex optimization-based bit allocation for video coding

TitleConvex optimization-based bit allocation for video coding
Authors
KeywordsBit allocation
Convex optimization
Rate-distortion model
Video coding
Issue Date2010
PublisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/content/120889/
Citation
Journal Of Signal Processing Systems, 2010, v. 58 n. 3, p. 325-340 How to Cite?
AbstractThis paper presents a new convex optimization-based bit allocation framework for video coding. Motivated by the statistical analysis of the relationship between the rate and the corresponding distortion in typical video sequences, an improved empirical rate-distortion model with more flexibility in explaining the experimental observations is proposed. The convexity and monotonicity properties of the proposed model allow us to formulate the bit allocation problem as a convex programming problem, which can be solved using interior-point methods. Coupled with the region of interest (ROI) functionality and the technique of MB classification, the proposed bit allocation scheme is then applied to the problem of frame-level bit allocation for various video coding standards employing motion compensated hybrid DCT/DPCM technique. Similar bit allocation scheme is also developed for MPEG-4 video object coding at the object level. The relevant model parameters are determined using previously encoded data by means of linear regression. Simulation results show that the proposed algorithms can achieve considerably better PSNR performance than the conventional approaches for the tested video sequences, at the expenses of slight increase in coding complexity. © 2009 Springer Science+Business Media, LLC.
Persistent Identifierhttp://hdl.handle.net/10722/58713
ISSN
2015 Impact Factor: 0.508
2015 SCImago Journal Rankings: 0.262
ISI Accession Number ID
Funding AgencyGrant Number
Hong Kong Research Grant Council (RGC)
Funding Information:

This work was supported by Hong Kong Research Grant Council (RGC). Parts of this work were presented at the conference of 2005 International Symposium on Intelligent Signal Processing and Communications Systems, [16], the conference of 2006 IEEE International Conference on Image Processing [32], and the conference of 2006 IEEE Asia Pacific Conference on Circuit and Systems [33].

References

 

DC FieldValueLanguage
dc.contributor.authorWu, Qen_HK
dc.contributor.authorNg, KTen_HK
dc.contributor.authorChan, SCen_HK
dc.contributor.authorShum, HYen_HK
dc.date.accessioned2010-05-31T03:35:33Z-
dc.date.available2010-05-31T03:35:33Z-
dc.date.issued2010en_HK
dc.identifier.citationJournal Of Signal Processing Systems, 2010, v. 58 n. 3, p. 325-340en_HK
dc.identifier.issn1939-8018en_HK
dc.identifier.urihttp://hdl.handle.net/10722/58713-
dc.description.abstractThis paper presents a new convex optimization-based bit allocation framework for video coding. Motivated by the statistical analysis of the relationship between the rate and the corresponding distortion in typical video sequences, an improved empirical rate-distortion model with more flexibility in explaining the experimental observations is proposed. The convexity and monotonicity properties of the proposed model allow us to formulate the bit allocation problem as a convex programming problem, which can be solved using interior-point methods. Coupled with the region of interest (ROI) functionality and the technique of MB classification, the proposed bit allocation scheme is then applied to the problem of frame-level bit allocation for various video coding standards employing motion compensated hybrid DCT/DPCM technique. Similar bit allocation scheme is also developed for MPEG-4 video object coding at the object level. The relevant model parameters are determined using previously encoded data by means of linear regression. Simulation results show that the proposed algorithms can achieve considerably better PSNR performance than the conventional approaches for the tested video sequences, at the expenses of slight increase in coding complexity. © 2009 Springer Science+Business Media, LLC.en_HK
dc.languageengen_HK
dc.publisherSpringer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/content/120889/en_HK
dc.relation.ispartofJournal of Signal Processing Systemsen_HK
dc.subjectBit allocationen_HK
dc.subjectConvex optimizationen_HK
dc.subjectRate-distortion modelen_HK
dc.subjectVideo codingen_HK
dc.titleConvex optimization-based bit allocation for video codingen_HK
dc.typeArticleen_HK
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.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s11265-009-0372-1en_HK
dc.identifier.scopuseid_2-s2.0-77951256837en_HK
dc.identifier.hkuros160846en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77951256837&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume58en_HK
dc.identifier.issue3en_HK
dc.identifier.spage325en_HK
dc.identifier.epage340en_HK
dc.identifier.isiWOS:000274519900005-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridWu, Q=52763969700en_HK
dc.identifier.scopusauthoridNg, KT=7403178463en_HK
dc.identifier.scopusauthoridChan, SC=13310287100en_HK
dc.identifier.scopusauthoridShum, HY=7006094115en_HK
dc.identifier.citeulike4692794-

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