Thank you for your feedback and concerns regarding our proposed method. We understand your perspective and would like to clarify some points. While it is true that in some scenarios the deep learning algorithms outperformed our proposed method, we believe that our method still has its advantages.

Firstly, our proposed method is a hybrid method that combines both hand-crafted features and deep features, which allows it to capture both low-level and high-level features of the video. This can be particularly useful in scenarios where deep learning algorithms may struggle due to limited training data or overfitting.

Secondly, our proposed method is computationally efficient and can be applied to real-time video processing. This can be an advantage in applications where speed is crucial.

Lastly, we agree that there is still room for improvement in our proposed method and we are continuously working on enhancing its performance. Thank you again for your feedback, we appreciate it

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