Zobrazeno 1 - 10
of 1 740
pro vyhledávání: '"Video copy detection"'
The short video-sharing services that allow users to post 10-30 second videos (e.g., YouTube Shorts and TikTok) have attracted a lot of attention in recent years. However, conventional video copy detection (VCD) methods mainly focus on general video-
Externí odkaz:
http://arxiv.org/abs/2403.18158
With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms. Meta AI hold Video Similarity Challenge on CVPR 2023 to push the technology forward. In this paper, we share our winner solutio
Externí odkaz:
http://arxiv.org/abs/2305.12361
Video Copy Detection (VCD) has been developed to identify instances of unauthorized or duplicated video content. This paper presents our second place solutions to the Meta AI Video Similarity Challenge (VSC22), CVPR 2023. In order to compete in this
Externí odkaz:
http://arxiv.org/abs/2304.10305
Autor:
He, Sifeng, Yang, Xudong, Jiang, Chen, Liang, Gang, Zhang, Wei, Pan, Tan, Wang, Qing, Xu, Furong, Li, Chunguang, Liu, Jingxiong, Xu, Hui, Huang, Kaiming, Cheng, Yuan, Qian, Feng, Zhang, Xiaobo, Yang, Lei
In this paper, we introduce VCSL (Video Copy Segment Localization), a new comprehensive segment-level annotated video copy dataset. Compared with existing copy detection datasets restricted by either video-level annotation or small-scale, VCSL not on
Externí odkaz:
http://arxiv.org/abs/2203.02654
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Existing video copy detection methods generally measure video similarity based on spatial similarities between key frames, neglecting the latent similarity in temporal dimension, so that the video similarity is biased towards spatial information. The
Externí odkaz:
http://arxiv.org/abs/2108.01817
Publikováno v:
IEEE WACV 2022
We propose a fast partial video copy detection framework in this paper. In this framework all frame features of the reference videos are organized in a KNN searchable database. Instead of scanning all reference videos, the query video segment does a
Externí odkaz:
http://arxiv.org/abs/2105.01713
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Given a collection of videos, how to detect content-based copies efficiently with high accuracy? Detecting copies in large video collections still remains one of the major challenges of multimedia retrieval. While many video copy detection approaches
Externí odkaz:
http://arxiv.org/abs/1804.07019
Publikováno v:
IEEE Access, Vol 7, Pp 100658-100665 (2019)
To protect the copyright of digital videos, video copy detection has become a hot topic in the field of digital copyright protection. Since a video sequence generally contains a large amount of data, to achieve efficient and effective copy detection,
Externí odkaz:
https://doaj.org/article/04baf6b7f580416db3e858d7a57f2d16
