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Zero-watermarking Algorithm for Audio and Video Matching Verification /
2022
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Citation
详细记录
Title
Zero-watermarking Algorithm for Audio and Video Matching Verification /
Author
项目类型
Journal article
描述
1 volume
数字对象唯一标识符
摘要
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.
附注
ISSN: 2473-6988
This resource was extracted from the Directory of Open Access Journals (DOAJ)
This resource was extracted from the Directory of Open Access Journals (DOAJ)
Source of Description
Crossref
丛编
AIMS Mathematics ; Volume 7, no. 5, 2022.
发表于
AIMS Mathematics
连续资源
Published
United States: [AIMS Press], 2022
语言
eng
记录出处