Corrections to "Generative Latent Coding for Ultra-Low Bitrate Image and Video Compression"

IF 10.8 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Circuits and Systems for Video Technology Pub Date : 2026-10-01 Epub Date: 2026-10-05 DOI:10.1109/TCSVT.2026.3705274

Linfeng Qi;Zhaoyang Jia;Jiahao Li;Bin Li;Houqiang Li;Yan Lu

引用次数: 0

Abstract

This addresses errors in [47]. Reference [47] currently points to a non-official/preprint version of the cited work. The correction concerns only the bibliographic information of the reference, not the technical content of the article. The reference should be updated to cite the official published version of the work, as follows: Ho, YH., Chang, CP., Chen, PY., Gnutti, A., Peng, WH. (2022). CANF-VC: Conditional Augmented Normalizing Flows for Video Compression. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G.M., Hassner, T. (eds) Computer Vision – ECCV 2022. ECCV 2022. Lecture Notes in Computer Science, vol 13676. Springer, Cham. https://doi.org/10.1007/978-3-031-19787-1_12

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对“超低比特率图像和视频压缩的生成隐编码”的修正

这将解决[47]中的错误。参考[47]目前指向被引用作品的非官方/预印本版本。更正只涉及参考文献的书目信息，而不涉及文章的技术内容。参考文献应更新为引用该作品的正式出版版本，如下：Ho， YH。，张，CP.，陈，PY.。，格努蒂，A.，彭，WH.。(2022)。视频压缩的条件增强归一化流。见：Avidan， S., Brostow， G., ciss， M., Farinella, g.m., Hassner， T.（编）计算机视觉- ECCV 2022。2022年大会。计算机科学课堂讲稿，卷13676。施普林格,可汗。https://doi.org/10.1007/978-3-031-19787-1_12

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Circuits and Systems for Video Technology 工程技术-工程：电子与电气

CiteScore

13.80

自引率

27.40%

发文量

660

审稿时长

5 months

期刊介绍： The IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) is dedicated to covering all aspects of video technologies from a circuits and systems perspective. We encourage submissions of general, theoretical, and application-oriented papers related to image and video acquisition, representation, presentation, and display. Additionally, we welcome contributions in areas such as processing, filtering, and transforms; analysis and synthesis; learning and understanding; compression, transmission, communication, and networking; as well as storage, retrieval, indexing, and search. Furthermore, papers focusing on hardware and software design and implementation are highly valued. Join us in advancing the field of video technology through innovative research and insights.