Video event recognition method based on top-down motion attention mechanism

Abstract

The invention discloses a video event recognition method based on a top-down motion attention mechanism, which comprises the following steps of: 1, detecting points of interest of each frame in each video in a video set on a computer by using Gaussian difference detector, wherein the video set comprises a training video set and a testing video set; 2, extracting scale-invariant characteristic description sub-characteristics and light stream characteristics from the detected points of interest of each frame; 3, establishing an apparent word list and a motion word list; 4, learning the probability of each motion word about each type of events on the training video set and establishing a motion information-based attention histogram; 5, calculating the similarity between videos in the video set by using the distance of a bulldozer, and generating a kernel function matrix; and 6, training a support vector machine classifier by using the obtained kernel function matrix so as to obtain classifier parameters, classifying the tested video sets, and outputting classification results.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a video event recognition method. Background technique [0002] In recent years, with the rapid development of the Internet, the promotion and popularization of technologies such as video compression technology, DVD, WebTV, and third-generation mobile communication technology (3G), especially the construction of broadband networks, people have more and more opportunities to interactively access video information. More and more video portals have emerged, such as Youku and Tudou in China, and Youtube in foreign countries. Video information producers in the world, such as TV stations, film producers, advertising producers, etc., and even various digital capture devices such as digital cameras, digital video cameras, etc. New video materials are continuously produced, and digital video media has begun to flood people's living spaces. [0003] How to enable people to ...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the technical problem that the background information of the prior art interferes with the classification process, the extracted features are not targeted, and the recognition accuracy is low. Therefore, the purpose of the present invention is to provide a fusion of video static features and dynamic features. Video Event Recognition Method Based on Top-Down Motion Attention Mechanism

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