会议信息

IWDW 2016: International Workshop on Digital-forensics and Watermarking

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IWDW
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截稿日期:
2016-06-30 Extended
通知日期:
2016-08-01
会议日期:
2016-09-17
会议地点:
Beijing, China
届数:
15
ICORE: C   浏览: 18755   关注: 8   参加: 1

会伴指数 (CP-I)

51.9 / 100
全站第 1,233 名 / 共 5,693 个会议 · 前 22%

安全与隐私 第 91 / 362

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
75
社区关注 (10%)
29
资料公开度 (15%)
25

用到的输入: 收录等级：ICORE C · 有据可查的届次：15 · 在会伴关注它的研究者：8 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 80% —— 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 2026-10-02

征稿

IWDW 2016 (International Workshop on Digital-forensics and Watermarking) is a ICORE C conference held in Beijing, China on 2016-09-17. The paper submission deadline is 2016-06-30 (extended). Acceptance notifications are sent on 2016-08-01.

The 15th IWDW, International Workshop on Digital-forensics and Watermarking (IWDW 2016) is a premier forum for researchers and practitioners working on novel research, development and applications of digital watermarking and forensics techniques for multimedia security. This year, IWDW 2016 is hosted by the State Key Laboratory of Information Security (SKLOIS), Institute of Information Engineering, Chinese Academy of Sciences in Beijing on September 17-19, 2016. We invite submissions of high-quality original research papers. Each submitted paper will be reviewed by at least two reviewers. Two prizes are to be awarded for the best paper and the best student paper, respectively. The proceedings of IWDW 2016 will be published on the Lecture Notes in Computer Science (LNCS) by Springer. Areas of interest include, but are not limited to: Mathematical modeling of embedding and detection Information theoretic, stochastic aspects of data hiding Security issues, including attacks and counter-attacks Combination of data hiding and cryptography Optimum watermark detection and reliable recovery Estimation of watermark capacity Channel coding techniques for watermarking Large-scale experimental tests and benchmarking New statistical and perceptual models of multimedia content Reversible data hiding Data hiding in special media Data hiding and authentication Steganography and steganalysis Digital multimedia forensics & anti-forensics Copyright protection, DRM, forensic watermarking Visual cryptography & secret image sharing Security based on human vision system
由 Xin Yao 最后更新于

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