Learning Hierarchical Fingerprints via Multi-Level Fusion for Video Integrity and Source Analysis-Reference-Cited by-同舟云学术

Learning Hierarchical Fingerprints via Multi-Level Fusion for Video Integrity and Source Analysis

Published:2024-02 Issue:1 Volume:70 Page:3414-3424
ISSN:0098-3063
Container-title:IEEE Transactions on Consumer Electronics
language:
Short-container-title:IEEE Trans. Consumer Electron.

Author:

Li Yuanman¹^ORCID,Ye Jiaxiong¹,Zeng Limin¹,Liang Rongqin¹^ORCID,Zheng Xianwei²,Sun Weiwei³,Wang Na¹

Affiliation:

1. Guangdong Key Laboratory of Intelligent Information Processing, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

2. School of Mathematics and Big Data, Foshan University, Guangdong, China

3. Department of Security, Alibaba Group, Hangzhou, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Foundation for Science and Technology Innovation of Shenzhen

Key Project of Shenzhen Science and Technology Plan

Open Research Project Programme of the State Key Laboratory of Internet of Things for Smart City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/30/10510045/10413510.pdf?arnumber=10413510

Reference31 articles.

1. From HEVC to VVC: The First Development Steps of a Practical Intra Video Encoder

2. Image Sharing Chain Detection VIA Sequence-To-Sequence Model

3. A Novel Video Watermarking Approach Based on Implicit Distortions

4. Efficient Video Integrity Analysis Through Container Characterization

5. IIFDD: Intra and inter-modal fusion for depression detection with multi-modal information from Internet of Medical Things

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