Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81119
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dc.contributor.authorWang, MHen_US
dc.contributor.authorXie, WYen_US
dc.contributor.authorXiong, Jen_US
dc.contributor.authorWang, DYen_US
dc.contributor.authorQin, Jen_US
dc.date.accessioned2019-07-29T03:18:03Z-
dc.date.available2019-07-29T03:18:03Z-
dc.date.issued2019-
dc.identifier.citationIEEE access, 2019, v. 7, p. 62534-62544en_US
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/10397/81119-
dc.description.abstractIn high efficiency video coding (HEVC), transformation and quantization are separately performed to eliminate the perceptual redundancy of visual signals. However, a uniform quantizer can inevitably degrade the compression efficiency of fixed transform matrices due to varying space-frequency characteristics of video content. This paper introduces a joint optimization of transform and quantization approach for video coding. First, we compute a content dependent transform from the reconstructed reference by a fast Karhunen-Loeve transform (KLT). Second, using a template-based rate regularization, we jointly optimize transform and quantization (JOTQ) as a rate constrained optimization problem and obtain a feasible solution to improve coding performance. Finally, we design fast algorithms and early terminations to reduce the computational complexity of JOTQ. The experimental results show that JOTQ outperforms several previous methods by providing Bjontegaard Delta rate reductions of 4.11% and 3.38% on average under the low-delay and random-access configuration, respectively.en_US
dc.description.sponsorshipSchool of Nursingen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofIEEE accessen_US
dc.rights© 2019 IEEE. Translations and content mining are permitted for academic research only.en_US
dc.rightsPersonal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.en_US
dc.rightsPost with permission of the publisher.en_US
dc.rightsThe following publication M. Wang, W. Xie, J. Xiong, D. Wang and J. Qin, "Joint Optimization of Transform and Quantization for High Efficiency Video Coding," in IEEE Access, vol. 7, pp. 62534-62544, 2019 is available at https://dx.doi.org/10.1109/ACCESS.2019.2917260en_US
dc.subjectVideo codingen_US
dc.subjectContent dependent transformen_US
dc.subjectBlock adaptive quantizationen_US
dc.subjectHigh efficiency video coding (HEVC)en_US
dc.titleJoint optimization of transform and quantization for high efficiency video codingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage62534-
dc.identifier.epage62544-
dc.identifier.volume7-
dc.identifier.doi10.1109/ACCESS.2019.2917260-
dc.identifier.isiWOS:000469865600001-
dc.description.validate201907 bcrc-
dc.description.oapublished_final-
Appears in Collections:Journal/Magazine Article
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