You can average the vectors from all sampled frames (Global Average Pooling) to create one unique "fingerprint" for the entire file. 5. Implementation (Python Snippet)
Since a video is a sequence of images, you first need to sample frames. For a 5.75 MB file (likely a short clip), sampling or taking a fixed number (e.g., 16 frames) is standard. 2. Select a Pre-trained Model Download: video5179512026745012956.mp4 (5.75 MB)
The frames must be formatted to match the model’s requirements: Usually to You can average the vectors from all sampled
Use ResNet-50 or ViT (Vision Transformer) pre-trained on ImageNet. Download: video5179512026745012956.mp4 (5.75 MB)
Depending on what you want the "feature" to represent, choose a model:
If you have the file locally, you can use PyTorch and OpenCV to get the feature: