会议信息

NOSSDAV 2026: International Workshop on Network and Operating Systems Support for Digital Audio and Video

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NOSSDAV
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截稿日期:
2026-01-17
通知日期:
会议日期:
2026-04-04
会议地点:
Hong Kong, China
届数:
CCF: B   ICORE: B   QUALIS: A2   浏览: 51057   关注: 53   参加: 6

会伴指数 (CP-I)

83.4 / 100
全站第 152 名 / 共 5,687 个会议 · 前 3%

系统与体系结构 第 29 / 341

学术认可 (35%)
92
投稿选择性 (20%)
68
会议传承 (20%)
97
社区关注 (10%)
54
资料公开度 (15%)
85

用到的输入: 收录等级：CCF B, ICORE B, QUALIS A2 · 录用率：38.7%（有记录的 5 届的均值） · 有据可查的届次：36 · 在会伴关注它的研究者：53 人 · 过去 24 个月打开过本页的研究者：7 人

公开资料里还缺: 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-30

征稿

NOSSDAV 2026 (International Workshop on Network and Operating Systems Support for Digital Audio and Video) is a CCF B / ICORE B / QUALIS A2 conference held in Hong Kong, China on 2026-04-04. The paper submission deadline is 2026-01-17.

NOSSDAV is a workshop with a long-standing tradition focusing on both emerging and established multimedia systems research topics especially high-risk/high-return ideas. The single-track format brings together academic and industry researchers and practitioners to engage in fruitful and constructive discussions. NOSSDAV encourages papers identifying fundamental open problems in multimedia systems research, advocate new radical ideas or offer counterarguments or critique on the existing state of the art; NOSSDAV prefers exciting-even-if-incomplete papers or reports on promising ideas that may be supported by well-reasoned arguments. NOSSDAV takes a broad perspective on all areas of multimedia systems. Authors are especially encouraged to submit papers with real-world experimental results and datasets. This includes new ideas relating to (but not limited to): Virtual reality (VR), augmented reality (AR) and immersive systems Deep learning approaches to improve multimedia delivery and processing Cloud architectures for multimedia coding and processing Wireless, mobile, IoT and embedded systems for multimedia applications Medical, surveillance and autonomous driving multimedia systems Network-distributed media processing Networked GPUs/TPUs, graphics and virtual environments Audio/Image/Video Analytics Systems System Support for Multimedia Interaction with humans Internet-Scale Multimedia Systems Large-language Model and AI-Generated Multimedia Systems
由 Dou Sun 最后更新于

录用率

平均录用率: 34.4% 13 年间 (1997–2012).

年份提交数录用数录用率(%)
2012471736.2%
2011512141.2%
2010512141.2%
2009512141.2%
2008501734%
2007521834.6%
2006742331.1%
2005883337.5%
2004952425.3%
2003601830%
2002591830.5%
2001602033.3%
1997812530.9%

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CCF全称影响因子出版商ISSN
Signal, Image and Video Processing2.1Springer1863-1703
IEEE/ACM Transactions on Audio Speech and Language Processing5.1IEEE2329-9290
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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