Short video has been developing rapidly in recent years, and short video advertising has a promising prospect. However, the traditional advertisements are usually stiffly inserted into the videos, which are inefficient and always decrease users’ experience. This thesis proposes a systematic scheme for video object detection and content recommendation based on the deep learning model Faster R-CNN. This scheme will match the video contents to the displayed advertisements based on the principles of high correlation, precision and low interruption...
