Moviescc ✰
[5] Devlin, J., et al. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. NAACL .
If you meant an existing specific "MovieSCC" (e.g., a software library, dataset, or conference), please provide a reference, and I will rewrite the paper accordingly. moviescc
Existing video classification models (e.g., VideoBERT, TimeSformer) often treat movies as generic video streams, ignoring unique cinematic structures such as shot transitions, pacing, and narrative tropes. fills this gap by focusing specifically on scene-level classification —the atomic narrative unit typically comprising multiple shots unified by time and location. [5] Devlin, J
[5] Devlin, J., et al. (2019). BERT: Pre-training of deep bidirectional transformers for language understanding. NAACL .
If you meant an existing specific "MovieSCC" (e.g., a software library, dataset, or conference), please provide a reference, and I will rewrite the paper accordingly.
Existing video classification models (e.g., VideoBERT, TimeSformer) often treat movies as generic video streams, ignoring unique cinematic structures such as shot transitions, pacing, and narrative tropes. fills this gap by focusing specifically on scene-level classification —the atomic narrative unit typically comprising multiple shots unified by time and location.