标题:Spherical torus-based video hashing for near-duplicate video detection
作者:Nie, Xiushan; Chai, Yane; Liu, Ju; Sun, Jiande; Yin, Yilong
作者机构:[Nie Xiushan] School of Computer Science and Technology, Shandong University of Finance and Economics, Digital Media Technology Key Laboratory of Shan 更多
通讯作者:Liu, Ju(juliu@sdu.edu.cn)
通讯作者地址:[Liu, J]Shandong Univ, Sch Informat Sci & Engn, Jinan 250100, Peoples R China.
来源:中国科学. 信息科学
出版年:2016
卷:59
期:5
DOI:10.1007/s11432-016-5528-6
摘要:With the rapid development of multimedia technologies, users can easily generate and share multiple videos through the Internet. Similarly, numerous illegal and useless near-duplicate videos generated through simple reformatting, transformation, and editing appear on the web. These near-duplicate videos inconvenience users when they are surfing the Internet and are considered a copyright infringement. Robust video hashing, which is also called video fingerprinting, does not require access to the video contents at the time of creation and can be used to detect existing contents. In general, a robust video hash is a short digest extracted from a video; however, it is robust to content-preserving attacks such as noise, logo addition, and contrast change. That is, similar to a human fingerprint that identifies a specific person, video hashing can classify video contents by extracting and comparing short digests. As such, video hashing is a feasible means to detect near-duplicate videos.
收录类别:EI;CSCD;SCOPUS;SCIE
WOS核心被引频次:3
Scopus被引频次:4
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959491769&doi=10.1007%2fs11432-016-5528-6&partnerID=40&md5=7ddec2a96a928283360ad549d0128ab2
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