Zero-watermarking Algorithm for Audio and Video Matching Verification /

Sun, Wenxue,; Zhao, Huiyuan,; Zhang , Xiao,; Sun, Yuchao,; Liu, Xiaoxin,; Fan, Di,; Lv, Xueling,

doi:10.3934/math.2022468

Zero-watermarking Algorithm for Audio and Video Matching Verification /

Sun, Wenxue, author.; Zhao, Huiyuan, author.; Zhang , Xiao, author.; Sun, Yuchao, author.; Liu, Xiaoxin, author.; Fan, Di, author.; Lv, Xueling, author.

2022

Available Online

Formats

Format
BibTeX
MARCXML
TextMARC
MARC
DataCite
DublinCore
EndNote
NLM
RefWorks
RIS

Cite

Details

Title

Zero-watermarking Algorithm for Audio and Video Matching Verification /

Author

Sun, Wenxue, author.
Zhao, Huiyuan, author.
Zhang , Xiao, author.
Sun, Yuchao, author.
Liu, Xiaoxin, author.
Fan, Di, author.
Lv, Xueling, author.

Item Type

Journal article

Description

1 volume

DOI

https://doi.org/10.3934/math.2022468

Summary

For the needs of tamper-proof detection and copyright identification of audio and video matching, this paper proposes a zero-watermark algorithm that can be used for audio and video matching verification. The algorithm segments audio and video in smaller time units, generates a video frame feature matrix based on NSCT, DCT, and SVD, and generates a sound watermark based on methods such as DWT and K-means. The zero watermark combines video, audio and copyright information. The experimental results show that the zero watermark generated by this algorithm can not only realize highly accurate matching detection and positioning of audio and video, but also well resist common single attack and combination attacks such as noise, scaling, rotation, frame attack and format conversion, which has good robustness.

Note

ISSN: 2473-6988
This resource was extracted from the Directory of Open Access Journals (DOAJ)

Source of Description

Crossref

Series

AIMS Mathematics ; Volume 7, no. 5, 2022.

In

AIMS Mathematics

Linked Resources

Online version

Published

United States: [AIMS Press], 2022