Short video classification method based on VGG-16 and whale optimization algorithm

The invention provides a short video classification method based on VGG-16 and a whale optimization algorithm, and the method comprises the steps: inputting an obtained video frame image into a VGG-16 network, carrying out the feature extraction, employing a defined video classification performance...

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Hauptverfasser: LAN WUYANG, XIAO HONGWEI, YAN LINGYU, YE ZHIWEI, HE QIYI, WEI CHENGHAO, DAI BOTAO, YANG ZHIHUI, WANG MINGWEI, ZHOU WEN, BAI WANFANG, LYU BINGHUI, CHENG YULIN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a short video classification method based on VGG-16 and a whale optimization algorithm, and the method comprises the steps: inputting an obtained video frame image into a VGG-16 network, carrying out the feature extraction, employing a defined video classification performance evaluation function, carrying out the optimization solving of a feature weight optimal parameter problem in the VGG-16 network through employing the whale optimization algorithm, and carrying out the classification of a short video. The method can be used in the related technical field of computer video classification, the classification method can improve the efficiency of an algorithm, can meet the application requirements of short video rapid classification, uses the VGG-16 convolutional neural network to effectively extract the features in the video frames, improves the effective feature extraction capability, and improves the classification efficiency. A foundation is laid for subsequent short video classifica