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PERSIST: Persistent-State Discrimination for Shot Boundary Detection

arXiv · AI, language, vision and robotics · article · Aug 29, 2026 · UTC

Shot boundary detection (SBD) is widely treated as the localisation of local visual discontinuities, yet many false positives such as hand-held shake, illumination flicker, motion blur, occlusion, and damaged archival material produce equally sharp local change without introducing a new shot. We reformulate SBD as boundary semantic discrimination: a frame is favoured as a boundary only when its local change evidence is accompanied by a persistent update of the video's latent temporal state, rather than a transient excursion that returns to the surrounding trend. This persistence test is operat

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First collected: 2026-09-21T07:51:58.603Z. This is not the publication date.