An unsupervised video summarization model and its establishment method
A technology for video summarization and model building, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as information loss, lack of extraction of long-term video dependencies, network pre-training, etc., to improve performance and realize end-to-end End-to-end training, the effect of eliminating subjectivity
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[0034] The following describes a preferred embodiment of the present invention with reference to the accompanying drawings to make its technical content clearer and easier to understand. The present invention can be embodied in many different forms of embodiments, and the protection scope of the present invention is not limited to the embodiments mentioned herein.
[0035] like image 3 Shown, the unsupervised video summarization model of the present invention, its establishment method comprises the following steps:
[0036] Step 1, input T frame video, utilize the pre-trained convolutional neural network to extract the original video frame feature, usually the original video frame feature extracted is a feature vector, the present embodiment uses GoogLeNet as the feature extraction network, then the feature of each frame is 1024-dimensional feature vector.
[0037] Step 2, the unsupervised video model is trained, and the input of the model is the original video frame featur...
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