Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/81119
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | - |
dc.creator | Wang, MH | - |
dc.creator | Xie, WY | - |
dc.creator | Xiong, J | - |
dc.creator | Wang, DY | - |
dc.creator | Qin, J | - |
dc.date.accessioned | 2019-07-29T03:18:03Z | - |
dc.date.available | 2019-07-29T03:18:03Z | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | http://hdl.handle.net/10397/81119 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2019 IEEE. Translations and content mining are permitted for academic research only. | en_US |
dc.rights | Personal 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.rights | Post with permission of the publisher. | en_US |
dc.rights | The 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.2019.2917260 | en_US |
dc.subject | Video coding | en_US |
dc.subject | Content dependent transform | en_US |
dc.subject | Block adaptive quantization | en_US |
dc.subject | High efficiency video coding (HEVC) | en_US |
dc.title | Joint optimization of transform and quantization for high efficiency video coding | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 62534 | - |
dc.identifier.epage | 62544 | - |
dc.identifier.volume | 7 | - |
dc.identifier.doi | 10.1109/ACCESS.2019.2917260 | - |
dcterms.abstract | In 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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE access, 2019, v. 7, p. 62534-62544 | - |
dcterms.isPartOf | IEEE access | - |
dcterms.issued | 2019 | - |
dc.identifier.isi | WOS:000469865600001 | - |
dc.description.validate | 201907 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Wang_Optimization_Quantization_Efficiency.pdf | 6.46 MB | Adobe PDF | View/Open |
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