Multi-examples-learning-based method for identifying horror video scene

Abstract

The invention discloses a multi-examples-learning-based method for identifying a horror video scene. The multi-examples-learning-based method comprises the following steps of: carrying out shot segmentation and key frame selection on a video scene, wherein the video scene corresponds to a multi-examples learning bag, and a shot corresponds to the examples in the bag; respectively extracting visual characteristics, audio characteristics and color affective characteristics on the basis of the shot and a key frame to form a characteristic space; training a corresponding multi-examples learning classifier in the characteristic space; structurally analyzing a video sample to be tested, and extracting related characteristics; and predicting the category, namely horror or non-horror, of the video sample through the trained classifier. According to the invention, the novel color affective characteristics are provided and applied to the method for identifying the horror video scene, and the multi-examples-learning-based method has wide application prospect.

Description

technical field [0001] The invention relates to the field of pattern recognition and computer network content security, in particular to a horror video scene recognition method based on multi-instance learning. Background technique [0002] With the rapid development of Internet technology and applications, people's understanding and use of the Internet has become more and more in-depth. At the same time, the Internet has brought a lot of convenience to people's lives, and even changed people's way of life. On the basis of the rapid development of the Internet, the spread of harmful information such as pornography, violence, and terror has become easier and easier. Psychological and physiological studies have shown that terrorist information on the Internet is no less harmful to the physical and mental health of young people than pornographic information. Excessive terrorist information may cause people to be in extreme anxiety and fear for a long time, and even cause physi...

AI Technical Summary

Problems solved by technology

Although these existing studies do not directly target the filtering of terrorist images, they can all be used as the research basis for WEB horror image recognition.

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