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: Finally, use these features for your specific application, such as clustering videos, classifying them, or using them for retrieval tasks.

For a technical implementation, consider using libraries like TensorFlow, PyTorch, or Keras, which provide tools and pre-trained models for video analysis. Here’s a simplified PyTorch example: : Finally, use these features for your specific

# Extract features with torch.no_grad(): outputs = model(inputs) return outputs.detach().cpu().numpy() such as clustering videos

: Select a pre-trained model that can serve as a foundation for your feature extraction. Models like convolutional neural networks (CNNs) for image-based features or 3D CNNs, two-stream networks, and transformer-based models for video are commonly used. consider using libraries like TensorFlow