From Legacy to Contemporary: Scalable Color Modernization for Long Videos
We formulate long video color modernization, a task that updates the chromatic and tonal appearance of legacy color footage while preserving scene content and coherence across frames and shots.
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Key points
- Bringing legacy video back to contemporary screens does not necessarily make it look contemporary.
- Earlier imaging pipelines often leave color casts, muted chroma, weak con- trast, and tonal imbalance, while correcting these character- istics still relies heavily on expert colorists and scales poorly to long, multi-shot videos.
- We introduce a scalable, training-free framework that jointly modernizes grids of temporally adjacent keyframes using a pretrained text-guided image editing model, producing coherent con- temporary references without paired supervision.
- We combine a human evaluation of perceived modernness with quantita- tive measures of content fidelity, temporal stability, percep- tual quality, and efficiency, and introduce Source-Weighted Inter-shot Grade Consistency (SW-IGC) to assess grade co- herence across shots.
Sources (1)
- [1]From Legacy to Contemporary: Scalable Color Modernization for Long VideosarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 01:39 PM
We formulate long video color modernization, a task that updates the chromatic and tonal appearance of legacy color footage while preserving scene content and coherence across frames and shots.
Bringing legacy video back to contemporary screens does not necessarily make it look contemporary.
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