Guest Editorial Special Section on Recent Standardization Efforts for Learning-Based Visual Data Coding
Visual data coding is an enabling technology for various applications and is now ubiquitously adopted in modern image processing, communications, and computer vision systems. To enable interoperability between devices manufactured and services provided by different enterprises, a series of standards...
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| Vydané v: | IEEE transactions on circuits and systems for video technology Ročník 34; číslo 5; s. 3063 - 3066 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
IEEE
01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Abstract | Visual data coding is an enabling technology for various applications and is now ubiquitously adopted in modern image processing, communications, and computer vision systems. To enable interoperability between devices manufactured and services provided by different enterprises, a series of standards targeting visual data coding have been crafted in the past three decades. Several standardization organizations, such as ISO/IEC JTC 1/SC 29 consisting of Joint Picture Experts Group (JPEG) and Moving Picture Experts Group (MPEG),<xref ref-type="fn" rid="fn1">1 ITU-T SG 16 Video Coding Experts Group (VCEG),<xref ref-type="fn" rid="fn2">2 IEEE Data Compression Standards Committee Audio Video Coding Working Group (1857 WG),<xref ref-type="fn" rid="fn3">3 MPAI Community,<xref ref-type="fn" rid="fn4">4 have been creating these standards from many contributions of academia and industry. While most of these visual coding standards have been successfully deployed in many applications, there are more challenges nowadays, especially to accommodate the large volume of visual data in limited storage and limited bandwidth transmission links. Compression efficiency improvements are still needed, especially considering emerging data representation formats ranging from 8K/HDR image/video to rich plenoptic data. |
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| AbstractList | Visual data coding is an enabling technology for various applications and is now ubiquitously adopted in modern image processing, communications, and computer vision systems. To enable interoperability between devices manufactured and services provided by different enterprises, a series of standards targeting visual data coding have been crafted in the past three decades. Several standardization organizations, such as ISO/IEC JTC 1/SC 29 consisting of Joint Picture Experts Group (JPEG) and Moving Picture Experts Group (MPEG),<xref ref-type="fn" rid="fn1">1 ITU-T SG 16 Video Coding Experts Group (VCEG),<xref ref-type="fn" rid="fn2">2 IEEE Data Compression Standards Committee Audio Video Coding Working Group (1857 WG),<xref ref-type="fn" rid="fn3">3 MPAI Community,<xref ref-type="fn" rid="fn4">4 have been creating these standards from many contributions of academia and industry. While most of these visual coding standards have been successfully deployed in many applications, there are more challenges nowadays, especially to accommodate the large volume of visual data in limited storage and limited bandwidth transmission links. Compression efficiency improvements are still needed, especially considering emerging data representation formats ranging from 8K/HDR image/video to rich plenoptic data. Visual data coding is an enabling technology for various applications and is now ubiquitously adopted in modern image processing, communications, and computer vision systems. To enable interoperability between devices manufactured and services provided by different enterprises, a series of standards targeting visual data coding have been crafted in the past three decades. Several standardization organizations, such as ISO/IEC JTC 1/SC 29 consisting of Joint Picture Experts Group (JPEG) and Moving Picture Experts Group (MPEG), 1 ITU-T SG 16 Video Coding Experts Group (VCEG), 2 IEEE Data Compression Standards Committee Audio Video Coding Working Group (1857 WG), 3 MPAI Community, 4 have been creating these standards from many contributions of academia and industry. While most of these visual coding standards have been successfully deployed in many applications, there are more challenges nowadays, especially to accommodate the large volume of visual data in limited storage and limited bandwidth transmission links. Compression efficiency improvements are still needed, especially considering emerging data representation formats ranging from 8K/HDR image/video to rich plenoptic data. |
| Author | Tian, Dong Liu, Shan Yu, Lu Liu, Dong Ascenso, Joao |
| Author_xml | – sequence: 1 givenname: Dong orcidid: 0000-0001-9100-2906 surname: Liu fullname: Liu, Dong email: dongeliu@ustc.edu.cn organization: School of Information Science and Technology, University of Science and Technology of China, Hefei, China – sequence: 2 givenname: Shan orcidid: 0000-0002-1442-1207 surname: Liu fullname: Liu, Shan email: shanl@global.tencent.com organization: Tencent Media Laboratory, Palo Alto, CA, USA – sequence: 3 givenname: Joao orcidid: 0000-0001-9902-5926 surname: Ascenso fullname: Ascenso, Joao email: joao.ascenso@lx.it.pt organization: Instituto Superior Técnico-Instituto de Telecomunicações, Lisbon, Portugal – sequence: 4 givenname: Dong surname: Tian fullname: Tian, Dong email: dong.tian@interdigital.com organization: InterDigital, Inc., New York, NY, USA – sequence: 5 givenname: Lu orcidid: 0000-0002-0550-7754 surname: Yu fullname: Yu, Lu email: yul@zju.edu.cn organization: Zhejiang University, Hangzhou, China |
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| SubjectTerms | Audio data Coding Coding standards Computer vision Data compression Encoding Image analysis Image compression Image processing Interoperability Learning systems Special issues and sections Standardization Transform coding Ubiquitous computing Video compression Videos Vision systems Visual databases |
| Title | Guest Editorial Special Section on Recent Standardization Efforts for Learning-Based Visual Data Coding |
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