Deep station caption detection method of weak supervision

Abstract

The invention provides a deep station caption detection method of weak supervision. The deep station caption detection method comprises the steps of preprocessing mass online video data files, and obtaining a large data set only marking a station caption type and a small data set only marking station caption position; inputting the small data set into a station caption positioning network to be trained, and obtaining a station caption positioning network capable of predicting a station caption area; inputting the large data set into the trained station caption positioning network to obtain a plurality of prediction station caption areas of each picture in the large data set, inputting the prediction station caption areas of each picture into a station caption classification network to be trained, and obtaining a station caption classification network capable of classifying station captions; conducting the same partial preprocessing on videos to be detected, inputting the preprocessed pictures into the trained station caption positioning network, and obtaining the prediction station caption areas of the pictures; inputting the prediction station caption areas of the pictures into the trained station caption classification network, and obtaining station caption positions and types of the pictures.

Description

technical field [0001] The invention relates to the field of deep learning, in particular to a weakly supervised deep station logo detection method. Background technique [0002] With the development of the Internet and the rise of multimedia technology, online video carries more and more content and has become a major content carrier in the era of big data. Different video sources tend to present different video content information. By detecting video logos, network video data can be managed more effectively, video source and content information can be grasped in advance, and videos containing bad information can be supervised. Therefore, video station logo detection has strong practical significance and research value. [0003] Station logo data widely exists in network video, and station logo detection is to detect several key frames extracted from network video. Compared with general object detection, station logo detection has particularity. The detection target appea...

AI Technical Summary

Problems solved by technology

However, for most of the classic neural network-based detection models, a large number of annotations are often required, which consumes manpower and time.

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