MSU Shot Boundary Detection Benchmark
Introduced by Gushchin et al. in Shot boundary detection method based on a new extensive dataset and mixed features
This is a dataset for a shot boundary detection task. The dataset contains 2 existing datasets and 19 manually marked up open source videos with a total length of more than 1200 minutes and 10000 scene transitions. The dataset includes different types of videos with different resolutions from 360×288 to 1920×1080 in MP4 and MKV formats. Videos include samples in RGB scale or in grayscale with FPS from 23 to 60.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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MSU Shot Boundary Detection Benchmark
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NITS-CV-Lab-v1.0
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Papers
| Paper | Code | Results | Date | Stars |
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