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A sample extraction method and device for a video classification problem

A technology for video classification and extraction methods, applied in video data retrieval, video data query, instruments, etc., can solve problems such as unfavorable model training, uneven sample quality, insufficient coverage of clips, etc., to enhance sample quality and improve training quality. Effect

Pending Publication Date: 2019-05-07
BOE TECH GRP CO LTD
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Problems solved by technology

However, since the above sample is equivalent to a video clip, it is likely that the clip cannot fully cover the content information of the entire video. Therefore, when a large number of samples corresponding to video data are collected, the quality of the sample is also uneven. Facilitate model training

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  • A sample extraction method and device for a video classification problem
  • A sample extraction method and device for a video classification problem
  • A sample extraction method and device for a video classification problem

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Embodiment Construction

[0072] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0073] Embodiments of the present invention provide a sample extraction method for video classification problems, such as figure 1 As shown, the method is to extract feature images capable of summarizing the content information of the video data from multiple continuous single-frame images corresponding to the video data, so as to form a sample, thereby ensuring the quality of the sample. For this, the embodiment of the present invention provide...

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Abstract

The invention discloses a sample extraction method and device for a video classification problem, and relates to the technical field of video classification. the method for extracting the samples fromthe video data is optimized so as to ensure that the samples can cover the whole content information of the video data, meanwhile, redundant image data in the samples are avoided, the sample qualityis enhanced, and the training quality of a video classification model can be improved. The technical scheme includes; acquiring video data; Analyzing the video data to obtain a plurality of continuoussingle-frame images corresponding to the video data; extracting Feature images from the plurality of continuous single-frame images to form a sample, wherein the feature images are used for summarizing content information of the video data, and the sample does not contain redundant image data. The method is applied to extracting the samples for training the video classification model from the video data.

Description

technical field [0001] The present invention relates to the technical field of video classification, in particular to a sample extraction method and device for video classification problems. Background technique [0002] With the rise of deep learning based on graphics processors, video classification has become easier to implement. Today's video classification usually refers to video classification based on deep learning. Video classification depends on huge data sets. If you want to achieve video classification in general fields, tens of thousands or even hundreds of thousands of databases may not be enough for training video classification models. Therefore, the existing video classification model based on deep learning is mainly trained in the subdivision field. Since this can focus video classification only on a specific scene, it is relatively easy to collect sufficient video data for training, such as : Collect video data matching specific scenes from video libraries...

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Application Information

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IPC IPC(8): G06K9/62G06F16/73
CPCG06V20/44G06V20/47G06V20/49G06F18/214G06V20/41G06F18/22
Inventor 贾红红赵骥伯
Owner BOE TECH GRP CO LTD
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