lambda -Domain Optimal Bit Allocation Algorithm for High Efficiency Video Coding
Rate control typically involves two steps: bit allocation and bitrate control. The bit allocation step can be implemented in various fashions depending on how many levels of allocation are desired and whether or not an optimal rate-distortion (R-D) performance is pursued. The bitrate control step ha...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology Jg. 28; H. 1; S. 130 - 142 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
IEEE
01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Schlagworte: | |
| ISSN: | 1051-8215, 1558-2205 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Rate control typically involves two steps: bit allocation and bitrate control. The bit allocation step can be implemented in various fashions depending on how many levels of allocation are desired and whether or not an optimal rate-distortion (R-D) performance is pursued. The bitrate control step has a simple aim in achieving the target bitrate as precisely as possible. In our recent research, we have developed a <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain rate control algorithm that is capable of controlling the bitrate precisely for High Efficiency Video Coding (HEVC). The initial research showed that the bitrate control in the <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain can be more precise than the conventional schemes. However, the simple bit allocation scheme adopted in this initial research is unable to achieve an optimal R-D performance reflecting the inherent R-D characteristics governed by the video content. In order to achieve an optimal R-D performance, the bit allocation algorithms need to be developed taking into account the video content of a given sequence. The key issue in deriving the video-content-guided optimal bit allocation algorithm is to build a suitable R-D model to characterize the R-D behavior of the video content. In this paper, to complement the R-<inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula> model developed in our initial work, a D-<inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula> model is properly constructed to complete a comprehensive framework of <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain R-D analysis. Based on this comprehensive <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain R-D analysis framework, a suite of optimal bit allocation algorithms are developed. In particular, we design both picture-level and basic-unit-level bit allocation algorithms based on the fundamental R-D optimization theory to take full advantage of the content-guided principles. The proposed algorithms are implemented in HEVC reference software, and the experimental results demonstrate that they can achieve an obvious R-D performance improvement with a smaller bitrate control error. The proposed bit allocation algorithms have already been adopted by the Joint Collaborative Team on Video Coding and integrated into the HEVC reference software. |
|---|---|
| AbstractList | Rate control typically involves two steps: bit allocation and bitrate control. The bit allocation step can be implemented in various fashions depending on how many levels of allocation are desired and whether or not an optimal rate-distortion (R-D) performance is pursued. The bitrate control step has a simple aim in achieving the target bitrate as precisely as possible. In our recent research, we have developed a <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain rate control algorithm that is capable of controlling the bitrate precisely for High Efficiency Video Coding (HEVC). The initial research showed that the bitrate control in the <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain can be more precise than the conventional schemes. However, the simple bit allocation scheme adopted in this initial research is unable to achieve an optimal R-D performance reflecting the inherent R-D characteristics governed by the video content. In order to achieve an optimal R-D performance, the bit allocation algorithms need to be developed taking into account the video content of a given sequence. The key issue in deriving the video-content-guided optimal bit allocation algorithm is to build a suitable R-D model to characterize the R-D behavior of the video content. In this paper, to complement the R-<inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula> model developed in our initial work, a D-<inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula> model is properly constructed to complete a comprehensive framework of <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain R-D analysis. Based on this comprehensive <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math></inline-formula>-domain R-D analysis framework, a suite of optimal bit allocation algorithms are developed. In particular, we design both picture-level and basic-unit-level bit allocation algorithms based on the fundamental R-D optimization theory to take full advantage of the content-guided principles. The proposed algorithms are implemented in HEVC reference software, and the experimental results demonstrate that they can achieve an obvious R-D performance improvement with a smaller bitrate control error. The proposed bit allocation algorithms have already been adopted by the Joint Collaborative Team on Video Coding and integrated into the HEVC reference software. Rate control typically involves two steps: bit allocation and bitrate control. The bit allocation step can be implemented in various fashions depending on how many levels of allocation are desired and whether or not an optimal rate- distortion (R-D) performance is pursued. The bitrate control step has a simple aim in achieving the target bitrate as precisely as possible. In our recent research, we have developed a λ-domain rate control algorithm that is capable of controlling the bitrate precisely for High Efficiency Video Coding (HEVC). The initial research showed that the bitrate control in the λ-domain can be more precise than the conventional schemes. However, the simple bit allocation scheme adopted in this initial research is unable to achieve an optimal R-D performance reflecting the inherent R-D characteristics governed by the video content. In order to achieve an optimal R-D performance, the bit allocation algorithms need to be developed taking into account the video content of a given sequence. The key issue in deriving the video-content-guided optimal bit allocation algorithm is to build a suitable R-D model to characterize the R-D behavior of the video content. In this paper, to complement the R-λ model developed in our initial work, a D-λ model is properly constructed to complete a comprehensive framework of λ-domain R-D analysis. Based on this comprehensive λ-domain R-D analysis framework, a suite of optimal bit allocation algorithms are developed. In particular, we design both picture-level and basic-unit-level bit allocation algorithms based on the fundamental R-D optimization theory to take full advantage of the content-guided principles. The proposed algorithms are implemented in HEVC reference software, and the experimental results demonstrate that they can achieve an obvious R-D performance improvement with a smaller bitrate control error. The proposed bit allocation algorithms have already been adopted by the Joint Collaborative Team on Video Coding and integrated into the HEVC reference software. |
| Author | Chen, Chang Wen Li, Li Li, Bin Li, Houqiang |
| Author_xml | – sequence: 1 givenname: Li surname: Li fullname: Li, Li email: lilimao@mail.ustc.edu.cn organization: Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China – sequence: 2 givenname: Bin surname: Li fullname: Li, Bin email: yhlibin@microsoft.com organization: Microsoft Asia, Beijing, China – sequence: 3 givenname: Houqiang orcidid: 0000-0003-2188-3028 surname: Li fullname: Li, Houqiang email: lihq@ustc.edu.cn organization: Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China – sequence: 4 givenname: Chang Wen surname: Chen fullname: Chen, Chang Wen email: chencw@buffalo.edu organization: Chinese Academy of Sciences Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, University of Science and Technology of China, Hefei, China |
| BookMark | eNp9kD1PwzAURS1UJNrCH4DFEnOK7dixPZZSKFKlIlG6Ro4_WldJXJx06L8n_RADA9O7wz3v6Z0B6NWhtgDcYzTCGMmn5eRztRwRhLMRYVJknFyBPmZMJIQg1usyYjgRBLMbMGiaLUKYCsr74KNUVWEUTF5CpXwNF7vWV6qEz76F47IMWrU-1F1ch-jbTQVdiHDm1xs4dc5rb2t9gCtvbICTYHy9vgXXTpWNvbvMIfh6nS4ns2S-eHufjOeJJpK1SSaIFhozJTW2lgqjtbWEFcKalKRCMSId47TgNksNdSl3EnVNSY1EzhUmHYLH895dDN9727T5Nuxj3Z3MCeaUMUIE71rk3NIxNE20Lt_F7r94yDHKj-byk7n8aC6_mOsg8QfSvj15aKPy5f_owxn11trfW5ylMpU0_QFOk339 |
| CODEN | ITCTEM |
| CitedBy_id | crossref_primary_10_1016_j_image_2021_116317 crossref_primary_10_3390_s23073607 crossref_primary_10_1016_j_image_2023_116957 crossref_primary_10_1049_iet_ipr_2019_1119 crossref_primary_10_1109_TCE_2021_3065636 crossref_primary_10_1109_LSP_2023_3234774 crossref_primary_10_1109_TBC_2020_3028340 crossref_primary_10_1007_s11760_021_01937_y crossref_primary_10_1109_TCSVT_2022_3231335 crossref_primary_10_1109_MMUL_2023_3253521 crossref_primary_10_1007_s00530_022_00942_6 crossref_primary_10_1109_JSYST_2021_3069477 crossref_primary_10_1117_1_JEI_31_3_033026 crossref_primary_10_1109_TBC_2019_2917402 crossref_primary_10_1109_TBC_2021_3068871 crossref_primary_10_1109_TCSVT_2023_3287561 crossref_primary_10_1145_3636510 crossref_primary_10_1109_TCSVT_2023_3243225 crossref_primary_10_1007_s00530_024_01329_5 crossref_primary_10_1109_TIP_2020_2989576 crossref_primary_10_1109_ACCESS_2021_3132294 crossref_primary_10_1109_TCSVT_2023_3297128 crossref_primary_10_1109_TCSVT_2017_2769703 crossref_primary_10_1109_TCSVT_2023_3313611 crossref_primary_10_1016_j_image_2024_117245 crossref_primary_10_1016_j_ins_2025_122333 crossref_primary_10_1007_s00034_022_01987_8 crossref_primary_10_1088_1742_6596_1865_4_042030 crossref_primary_10_1109_MMUL_2023_3266323 crossref_primary_10_1109_TBC_2024_3517167 crossref_primary_10_1016_j_displa_2024_102726 crossref_primary_10_1109_ACCESS_2021_3123393 crossref_primary_10_1109_JSTSP_2019_2957952 crossref_primary_10_1016_j_image_2020_115964 crossref_primary_10_3390_electronics11234052 crossref_primary_10_1016_j_jvcir_2024_104295 crossref_primary_10_1109_TCSVT_2019_2914100 crossref_primary_10_1109_ACCESS_2020_3022408 crossref_primary_10_1109_JSTSP_2019_2963154 crossref_primary_10_1109_TBC_2018_2847445 crossref_primary_10_1007_s11042_020_09710_y crossref_primary_10_1007_s11554_020_01018_2 crossref_primary_10_1109_TIP_2021_3072225 crossref_primary_10_1109_ACCESS_2019_2948709 crossref_primary_10_1007_s11042_022_12146_1 crossref_primary_10_1109_TVT_2024_3510748 crossref_primary_10_1109_TCSVT_2023_3262303 crossref_primary_10_1109_TMM_2022_3167810 crossref_primary_10_1016_j_comcom_2019_07_001 crossref_primary_10_1109_TBC_2023_3268946 crossref_primary_10_1007_s11042_020_09721_9 crossref_primary_10_1109_ACCESS_2020_3046043 crossref_primary_10_1109_TCSVT_2021_3093315 crossref_primary_10_1016_j_sigpro_2022_108593 crossref_primary_10_1109_TCSVT_2019_2924313 crossref_primary_10_1109_TIP_2020_3038515 crossref_primary_10_1109_TBC_2021_3120916 crossref_primary_10_1109_TMM_2024_3358063 crossref_primary_10_1109_TIP_2023_3289064 crossref_primary_10_1109_MMUL_2018_112142602 crossref_primary_10_1016_j_knosys_2022_110010 |
| Cites_doi | 10.1109/PCS.2013.6737690 10.1109/TCSVT.2009.2020339 10.1109/TCSVT.2012.2223038 10.1109/83.334987 10.1109/TCSVT.2011.2138810 10.1109/JSTSP.2013.2272241 10.1109/TCSVT.2005.852400 10.1109/TCSVT.2012.2221191 10.1109/TCSVT.2006.875215 10.1109/TCSVT.2013.2276880 10.1109/TCSVT.2007.903123 10.1109/TCSVT.2002.804883 10.1109/76.825868 10.1109/TMM.2006.870713 10.1109/79.733497 10.1109/TCSVT.2013.2244795 10.1109/TCSVT.2006.887081 10.1109/79.733495 10.1109/JSTSP.2013.2272240 10.1109/78.668554 10.1109/76.937431 10.1109/TIP.2014.2336550 10.1109/TCSVT.2010.2057011 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1109/TCSVT.2016.2598672 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1558-2205 |
| EndPage | 142 |
| ExternalDocumentID | 10_1109_TCSVT_2016_2598672 7539394 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: Whitaker Foundation – fundername: Kodak – fundername: Natural Science Foundation of China grantid: 61325009; 61390510; 61272316 funderid: 10.13039/501100001809 – fundername: Air Force – fundername: Microsoft funderid: 10.13039/100004318 – fundername: 973 Program grantid: 2015CB351803 – fundername: Intel funderid: 10.13039/100002418 – fundername: NSF funderid: 10.13039/100000001 – fundername: DARPA funderid: 10.13039/100000185 – fundername: NASA funderid: 10.13039/100000104 |
| GroupedDBID | -~X 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS RXW TAE TN5 VH1 AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c295t-682c8c15a9c1ee48dccee25b8ed3238a529f574b7e63d4f37f90c1e94d90ffbd3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 87 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000422943700010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1051-8215 |
| IngestDate | Sun Nov 09 08:51:22 EST 2025 Sat Nov 29 01:44:09 EST 2025 Tue Nov 18 21:41:07 EST 2025 Tue Aug 26 17:04:40 EDT 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c295t-682c8c15a9c1ee48dccee25b8ed3238a529f574b7e63d4f37f90c1e94d90ffbd3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-2188-3028 |
| PQID | 2174552287 |
| PQPubID | 85433 |
| PageCount | 13 |
| ParticipantIDs | crossref_primary_10_1109_TCSVT_2016_2598672 proquest_journals_2174552287 crossref_citationtrail_10_1109_TCSVT_2016_2598672 ieee_primary_7539394 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-Jan. 2018-1-00 20180101 |
| PublicationDateYYYYMMDD | 2018-01-01 |
| PublicationDate_xml | – month: 01 year: 2018 text: 2018-Jan. |
| PublicationDecade | 2010 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on circuits and systems for video technology |
| PublicationTitleAbbrev | TCSVT |
| PublicationYear | 2018 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref12 ref15 ref14 ref31 ref11 ref1 ref17 ref16 ref19 li (ref2) 2012 ref18 lim (ref5) 2005 ref26 ref20 (ref25) 2016 ref22 ref21 bjøntegaard (ref32) 2001 ref28 (ref30) 2016 ref27 ref8 ref7 ref9 ref4 liu (ref10) 2010 ref3 ref6 li (ref24) 2013 karczewicz (ref23) 2013 bosson (ref29) 2013 |
| References_xml | – ident: ref22 doi: 10.1109/PCS.2013.6737690 – ident: ref19 doi: 10.1109/TCSVT.2009.2020339 – ident: ref31 doi: 10.1109/TCSVT.2012.2223038 – ident: ref13 doi: 10.1109/83.334987 – start-page: 1277 year: 2010 ident: ref10 article-title: Low-complexity rate control based on $\rho $ -domain model for scalable video coding publication-title: Proc 17th IEEE Int Conf Image Process (ICIP) – ident: ref14 doi: 10.1109/TCSVT.2011.2138810 – year: 2005 ident: ref5 publication-title: Text Description of Joint Model Reference Encoding Methods and Decoding Concealment Methods – ident: ref6 doi: 10.1109/JSTSP.2013.2272241 – ident: ref27 doi: 10.1109/TCSVT.2005.852400 – year: 2016 ident: ref30 publication-title: The Bisection Method – year: 2016 ident: ref25 publication-title: HM HEVC Test MoDel – year: 2001 ident: ref32 publication-title: Calculation of average PSNR difference between RD curves – year: 2012 ident: ref2 publication-title: Rate Control by R-lambda Model for HEVC – ident: ref3 doi: 10.1109/TCSVT.2012.2221191 – ident: ref17 doi: 10.1109/TCSVT.2006.875215 – ident: ref8 doi: 10.1109/TCSVT.2013.2276880 – ident: ref12 doi: 10.1109/TCSVT.2007.903123 – ident: ref18 doi: 10.1109/TCSVT.2002.804883 – ident: ref21 doi: 10.1109/76.825868 – ident: ref11 doi: 10.1109/TMM.2006.870713 – ident: ref26 doi: 10.1109/79.733497 – ident: ref16 doi: 10.1109/TCSVT.2013.2244795 – year: 2013 ident: ref29 publication-title: Common Test Conditions and Software Reference Configurations – ident: ref7 doi: 10.1109/TCSVT.2006.887081 – ident: ref4 doi: 10.1109/79.733495 – year: 2013 ident: ref24 publication-title: Adaptive Bit Allocation for R-Lambda Model Rate Control in HM – year: 2013 ident: ref23 publication-title: Intra frame rate control based on SATD – ident: ref15 doi: 10.1109/JSTSP.2013.2272240 – ident: ref28 doi: 10.1109/78.668554 – ident: ref9 doi: 10.1109/76.937431 – ident: ref1 doi: 10.1109/TIP.2014.2336550 – ident: ref20 doi: 10.1109/TCSVT.2010.2057011 |
| SSID | ssj0014847 |
| Score | 2.556211 |
| Snippet | Rate control typically involves two steps: bit allocation and bitrate control. The bit allocation step can be implemented in various fashions depending on how... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 130 |
| SubjectTerms | Algorithm design and analysis Algorithms Analytical models Bit allocation Bit rate Coding Control algorithms Control theory D-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math> </inline-formula> model Distortion Encoding High Efficiency Video Coding (HEVC) R-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <inline-formula> <tex-math notation="LaTeX"> {\lambda } </tex-math> </inline-formula> model rate control rate–distortion (R-D) analysis Software Streaming media Video coding Video compression |
| Title | lambda -Domain Optimal Bit Allocation Algorithm for High Efficiency Video Coding |
| URI | https://ieeexplore.ieee.org/document/7539394 https://www.proquest.com/docview/2174552287 |
| Volume | 28 |
| WOSCitedRecordID | wos000422943700010&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1558-2205 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014847 issn: 1051-8215 databaseCode: RIE dateStart: 19910101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LTxsxEB6FqAc4AC1FhEflQ2_t5mF71_YRAlEPFUVqGnFb7dpjiESyKGz4_YydTVREhdSbJY9Xq_l2_c3Y8wD46oz0uhRpIj1XiSy9SQrDyVkRDn2WCsVjserJT3V9rW9vzU0Lvm9yYRAxBp9hNwzjXb6r7DIclfXItDbCyC3YUipb5Wptbgykjs3EyFwYJJp4bJ0g0ze98fD3ZByiuLIuD-XIFX9FQrGryputOPLLaO__3mwfdhs7kp2vgP8ILZx_gp2_qgsewA2BXbqCJZfVjPx_9ot2hxmtuZjW7PwhkFgAhYZ31WJa388Y2a8sxH2wq1hXIiRlssnUYcWGVaC4z_BndDUe_kiaBgqJ5Satk0xzq-0gLYwdIErtLFEiT0uNThBVFyk3PlWyVJgJJ71Q3vRJ0khn-t6XThxCe17N8QhYQVPhjhSR_DeBtnReC_RoHbqMJjowWGs0t0118dDk4iGPXkbf5BGFPKCQNyh04NtmzeOqtsa70gdB7xvJRuUdOF0Dlze_31Me_KyULEutjv-96gS26dl6dZZyCu16scQz-GCf6-nT4kv8sl4Ap7nLZQ |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dT9swED8BmwQ8bONLlLHND7yNQGs7if0IBQSiFKSVircosc9bJNqgEvj7ObtpBRqatDdLPivR_RL_7uz7ANizWjpViDiSjqeRLJyOcs3JWREWXRKLlIdi1cNe2u-ruzt9swD781wYRAzBZ3jgh-Eu31bmyR-VHZJprYWWi_DBd85qsrXmdwZShXZiZDB0IkVMNkuRaevDQffXcODjuJID7guSp_wNDYW-Kn9txoFhzj7_37t9gU-NJcmOptCvwQKO12H1VX3BDbghuAubs-ikGuXlmF3T_jCiNcdlzY7uPY15WGj4u5qU9Z8RIwuW-cgPdhoqS_i0TDYsLVasW3mS24Tbs9NB9zxqWihEhuu4jhLFjTKdONemgyiVNUSKPC4UWkFkncdcuziVRYqJsNKJ1Ok2SWppddu5wootWBpXY9wGltOUvyVFJA9OoCmsUwIdGos2oYkWdGYazUxTX9y3ubjPgp_R1llAIfMoZA0KLfg5X_Mwra7xT-kNr_e5ZKPyFuzOgMuaH_Ax855WTLalSnfeX_UDls8HV72sd9G__Aor9Bw1PVnZhaV68oTf4KN5rsvHyffwlb0AamfOrg |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=lambda+-Domain+Optimal+Bit+Allocation+Algorithm+for+High+Efficiency+Video+Coding&rft.jtitle=IEEE+transactions+on+circuits+and+systems+for+video+technology&rft.au=Li%2C+Li&rft.au=Li%2C+Bin&rft.au=Li%2C+Houqiang&rft.au=Chen%2C+Chang+Wen&rft.date=2018-01-01&rft.pub=IEEE&rft.issn=1051-8215&rft.volume=28&rft.issue=1&rft.spage=130&rft.epage=142&rft_id=info:doi/10.1109%2FTCSVT.2016.2598672&rft.externalDocID=7539394 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1051-8215&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1051-8215&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1051-8215&client=summon |