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English(EN) Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

新方法检测并解释长视频中的AI篡改

研究人员开发了一种新的方法,用于检测和解释长视频中被篡改的片段,解决了现有工具主要关注短片片的局限性。这种名为MSLoc的方法采用粗粒度到细粒度的策略,可以高效地扫描长视频,然后对AI生成内容的定位和推理进行细化。配套的TASLE基准测试包含12,000多个视频,提供了篡改片段的时间边界、真实性标签和理由,旨在改进AI生成错误信息分析。 AI

影响 增强了对长篇视频内容中AI生成错误信息的检测能力。

排序理由 该集群包含一篇学术论文,详细介绍了用于AI生成视频取证的新方法和基准测试。

在 arXiv cs.CV 阅读 →

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Yue Feng, Jingjing Li, Qijia Lu, Wei Ji, Jingrou Zhang, Fei Shen, Xiao Li, Yizhen Jia, Qiang Chen, Limin Wang, Wentong Li, Jie Qin ·

    Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

    arXiv:2606.02402v1 Announce Type: new Abstract: The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in long-form videos. Existing video forensic methods pr…

  2. arXiv cs.CV TIER_1 English(EN) · Jie Qin ·

    Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

    The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in long-form videos. Existing video forensic methods predominantly operate on short, independent clips,…