Network advertisement promotion method based on video content
A technology for video content and online advertising, which is applied in the field of online advertising promotion based on video content, can solve the problems of large cost investment, viewer dislike, and expensive manual operation, so as to improve the utilization rate of funds, reduce manual operations, and reduce The effect of promotion costs
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[0017] Embodiment 1: This embodiment comprehensively applies the theory and technology of residual deep learning, regional convolutional neural network learning, recurrent adversarial neural network learning, and text string similarity matching to develop and form a new type of online advertising promotion based on video content method, the details are as follows:
[0018] (1) Sampling of video sequences and matching method of video content and advertising model: First, collect as many videos containing subtitles as possible, construct a video sequence sampling model, and extract key frames of video sequences; then according to the sampled pictures containing subtitles Sequence, using residual deep learning to build a matching model for video content and advertisements.
[0019] (2) Embed the selected advertisement into the video sequence seamlessly: first, detect the target in the video sequence according to the regional convolutional neural network, extract the target featur...
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