The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
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Updated
May 26, 2024 - Python
The official code of "CSTA: CNN-based Spatiotemporal Attention for Video Summarization"
Video Summarization project implemented using ResNeXt-101 with PyTorch's LSTM and an MLP for importance score prediction, Kernal Temporal Segmentation is applied along with Dynamic Programming KnapSack to maximize the importance of frames in the summary generation. The final visual is created using smoothly combining frames with the MoviePy module.
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