Video classification method, device, electronic device, and computer-readable storage medium
A video classification and video technology, applied in the direction of video data clustering/classification, video data retrieval, biological neural network model, etc., can solve the problem of low classification efficiency of video classification methods, achieve the effect of improving classification efficiency and ensuring accuracy
Active Publication Date: 2021-08-10
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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[0004] Embodiments of the present invention provide a video classification method, device, electronic equipment, and computer-readable storage medium to solve the problem of low classification efficiency in existing video classification methods
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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0028] Firstly, the video classification method provided by the embodiment of the present invention will be described below.
[0029] It should be noted that the video classification method provided in the embodiment of the present invention is applied to electronic equipment. Specifically, the electronic device can be a server. Of course, the type of the electronic device is not limited to the server, and it can also be other types of devices that can...
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The invention provides a video classification method, device, electronic equipment and computer-readable storage medium. The method includes: obtaining the first feature sequence of the video to be classified; wherein, the features in the first feature sequence are arranged in time order; inputting the first feature sequence into the target pyramid attention network, and obtaining the first feature sequence output by the target pyramid attention network. output results; according to the first output result, the target vector is obtained; according to the target vector, the video to be classified is classified. Compared with the prior art, the embodiment of the present invention can effectively improve the video classification efficiency, and the target pyramid attention network adopts an attention-based method, which can extract and fuse the most effective features of the video for video classification , which can better guarantee the accuracy of the classification results.
Description
technical field [0001] Embodiments of the present invention relate to the technical field of video classification, and in particular, to a video classification method, device, electronic equipment, and computer-readable storage medium. Background technique [0002] Video classification is one of the most important and basic tasks in computer vision. Video classification refers to dividing videos into pre-defined categories by analyzing and understanding relevant information of videos. Video classification is used in video search, video recommendation, etc. It plays a key role in application scenarios, and video classification is also an important dependence of video technologies such as video labeling, video monitoring, and video title generation. [0003] At present, a commonly used video classification method is: directly input all frames of the video into a device for video classification, so as to obtain a classification result output by the device. When this method is ...
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IPC IPC(8): G06F16/75G06N3/04
CPCG06F16/75G06N3/045
Inventor 龙翔何栋梁李甫迟至真周志超赵翔李鑫文石磊丁二锐
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD