{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-dual-level-detection-method-for-video-copy","title":"A Dual-level Detection Method for Video Copy Detection","arxiv_id":"2305.12361","date":"2023-05-21","proceeding":null,"authors":["Tianyi Wang","Feipeng Ma","Zhenhua Liu","Fengyun Rao"],"abstract":"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 solutions on both tracks to help progress in this area. For Descriptor Track, we propose a dual-level detection method with Video Editing Detection (VED) and Frame Scenes Detection (FSD) to tackle the core challenges on Video Copy Detection. Experimental results demonstrate the effectiveness and efficiency of our proposed method. Code is available at https://github.com/FeipengMa6/VSC22-Submission.","url_abs":"https://arxiv.org/abs/2305.12361v1","url_pdf":"https://arxiv.org/pdf/2305.12361v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-dual-level-detection-method-for-video-copy","repo_url":"https://github.com/feipengma6/vsc22-submission","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"copy-detection","task_name":"Copy Detection"},{"task_slug":"partial-video-copy-detection","task_name":"Partial Video Copy Detection"},{"task_slug":"video-editing","task_name":"Video Editing"},{"task_slug":"video-similarity","task_name":"Video Similarity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2305.12361","atlas_url":"https://app.syntology.ai/?focus=2305.12361","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}