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Tongchao Feng

dblp:416/9161 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0007-9657-519XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Digital forensics and information hiding · 100%
Artificial intelligence
1 paper
Generative modeling · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Generative modeling
generative adversarial network
0.912025
MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025
Digital forensics and information hiding
copyright protection
0.912025
A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025
Digital forensics and information hiding
image hashing
0.912025
A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025
Digital forensics and information hiding
perceptual hashing
0.912025
A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images · IEEE Trans. Multim. 2025
Digital forensics and information hiding › watermarking › robust watermarking
screen-shooting robust watermarking
0.912025
MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025
Digital forensics and information hiding
watermarking
0.912025
MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking · IEEE Trans. Inf. Forensics Secur. 2025

Methods — techniques the papers use, named apart from their topics

multi-token vit · 1.7dense GAN · 1.7perceptual hash · 0.9discrete cosine transform · 0.9
YearPublicationVenuePosition
2025 MTVDGAN: Multi-Token-ViT Dense GAN for Robust Screen-Shooting Watermarking
Guangyong Gao, Tongchao Feng, Zhangjie Fu 0001, Yun Q. Shi 0001
IEEE Trans. Inf. Forensics Secur.3
2025 A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images
abstract
Purely chromatic background images are widely used in computer wallpapers and advertisements, leading to issues such as copyright infringement and the loss of interest of holders. Image hashing is a technique used for comparing the similarity between images, and is often used for image verification, search, and copy detection due to its insensitivity to subtle changes in the original image. In a purely chromatic background image, the central detail of the image is the primary part and the key for copyright authentication. As the perception hash (pHash) algorithm only retains the low-frequency portion of the discrete cosine transform (DCT) matrix, it is unsuitable for purely chromatic background images. To deal with this issue, we propose an improved perception hash (ipHash) algorithm to enhance the universality of the algorithm by extracting purely chromatic background image features. Meanwhile, the development of image hashing is restricted due to the requirement of a trusted third party. To solve this issue, a secure blockchain-based image copyright protection scheme is designed. It realizes the copyright authentication and traceability, and overcomes the issue of a lack of trusted third parties. Experimental results show that the proposed method outperforms the state-of-theart image copyright protection schemes.
Guangyong Gao, Tongchao Feng, Chongtao Guo, Zhihua Xia, Yun Q. Shi 0001
IEEE Trans. Multim.2