{"slug": "detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the", "title": "Detect Early, Escalate Rarely: Anytime Detection of AI-Generated Video from the Compressed Bitstream", "summary": "A new method for detecting AI-generated video operates directly on the compressed bitstream, reading the motion field already written by the codec instead of decoding pixels. The approach achieves a full-length AUC of 0.64 on GenVidBench at five orders of magnitude less compute than a pixel CNN on CPU, and deferring 15% of clips lifts accuracy from 0.75 to 0.78 at 7× less compute (McNemar p<10⁻⁶). The work, from Kurban Intelligence Lab, introduces no new detector but reframes detection as streaming perception with anytime-valid guarantees.", "body_md": "arXiv:2607.19476v1 Announce Type: new\nAbstract: Detectors for AI-generated video are evaluated offline. A clip is decoded to pixels and scored once, increasingly by a large vision-language model. Detection, however, is deployed online. We recast the task as streaming perception and score the motion field the codec already wrote into the bitstream. Reading that field is a parse, not a pixel-domain forward pass. Because the running aggregate is monotone, one end-calibrated threshold is anytime-valid at the data-dependent decision time. Recalibrating at each prefix is not. Escalation is priced in closed form. A compute budget maps to a deferral window, on a frontier monotone exactly where the deferral condition holds. On matched GenVidBench the codec stage reaches full-length AUC 0.64 at five orders of magnitude less compute than a pixel CNN, on CPU. Its gate holds the stopping-time false-positive rate at target while the real data match its calibration, and drifts above it under distribution shift. Deferring 15% of clips lifts accuracy from 0.75 to 0.78 at $7\\times$ less compute (paired: McNemar $p<10^{-6}$). The stage-1 ordering replicates on AIGVDBench. We introduce no new detector. The contribution is the reframing, two guarantees, and the measured frontiers. Code, configurations, and evaluation splits: https://github.com/KurbanIntelligenceLab/streamdet.", "url": "https://wpnews.pro/news/detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the", "canonical_source": "https://arxiv.org/abs/2607.19476", "published_at": "2026-07-23 04:00:00+00:00", "updated_at": "2026-07-23 04:25:41.692114+00:00", "lang": "en", "topics": ["artificial-intelligence", "computer-vision", "ai-research"], "entities": ["Kurban Intelligence Lab", "GenVidBench", "AIGVDBench"], "alternates": {"html": "https://wpnews.pro/news/detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the", "markdown": "https://wpnews.pro/news/detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the.md", "text": "https://wpnews.pro/news/detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the.txt", "jsonld": "https://wpnews.pro/news/detect-early-escalate-rarely-anytime-detection-of-ai-generated-video-from-the.jsonld"}}