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Topic modeling multimedia search system based on multimedia analysis and method thereof

机译:基于多媒体分析的主题建模多媒体搜索系统及其方法

摘要

The present invention provides a video analysis-based topic modeling image retrieval to improve search performance by adding keywords that can effectively describe the image through topic modeling based on texts obtained by analyzing the video and audio included in the image, respectively. The present invention relates to a system and method, and that an image is divided into audio and video, and then each video and audio are analyzed through various analysis methods including deep learning as text and analysis information, and the calculated text and analysis information. Using topic modeling to calculate a search keyword that includes the appropriate topics for the calculated information and storing it in conjunction with the image, you can improve the classification or search performance by using the information related to the image that is not explicitly input as the search keyword. It has an effect.
机译:本发明提供了基于视频分析的主题建模图像检索,以通过基于分别通过分析图像中包括的视频和音频而获得的文本,添加可以通过主题建模来有效描述图像的关键字来改善搜索性能。本发明涉及一种系统和方法,其中将图像分为音频和视频,然后通过各种分析方法对每种视频和音频进行分析,包括深度学习作为文本和分析信息,以及计算出的文本和分析信息。使用主题建模来计算搜索关键词,该关键词包括所计算信息的适当主题并将其与图像一起存储,可以使用与图像相关的信息(未明确输入为搜索信息)来提高分类或搜索性能关键词。有效果。

著录项

  • 公开/公告号KR102070197B1

    专利类型

  • 公开/公告日2020-01-28

    原文格式PDF

  • 申请/专利权人 김진회;

    申请/专利号KR20180042361

  • 发明设计人 김진회;

    申请日2018-04-11

  • 分类号G06F16;

  • 国家 KR

  • 入库时间 2022-08-21 11:05:31

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