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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| Published in: | IEEE transactions on circuits and systems for video technology Vol. 34; no. 5; pp. 3063 - 3066 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 1051-8215, 1558-2205 |
| Online Access: | Get full text |
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| Summary: | 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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| Bibliography: | SourceType-Scholarly Journals-1 content type line 14 ObjectType-Editorial-2 ObjectType-Commentary-1 |
| ISSN: | 1051-8215 1558-2205 |
| DOI: | 10.1109/TCSVT.2024.3391968 |