首页> 外国专利> AN AI FABRIC SEARCH METHOD FOR SEARCHING FOR AND RECOMMENDING SIMILAR FABRICS BY USING A VIDEO RECORDING VARIOUS STATES OF CLOTHING FABRICS, A RECORDING MEDIUM STORING A PROGRAM FOR EXECUTING THE SAME, AND A COMPUTER PROGRAM STORED IN THE RECORDING MEDIUM FOR EXECUTING THE SAME

AN AI FABRIC SEARCH METHOD FOR SEARCHING FOR AND RECOMMENDING SIMILAR FABRICS BY USING A VIDEO RECORDING VARIOUS STATES OF CLOTHING FABRICS, A RECORDING MEDIUM STORING A PROGRAM FOR EXECUTING THE SAME, AND A COMPUTER PROGRAM STORED IN THE RECORDING MEDIUM FOR EXECUTING THE SAME

机译:通过使用视频录制各种衣服织物的视频,存储用于执行程序的程序的记录介质以及存储在记录介质中的录制介质来搜索和推荐类似的面料的AI结构搜索方法,以及存储在记录介质中的用于执行相同的计算机程序

摘要

The present invention provides a property keyframe for a basic fabric image that can check the properties of a fabric from a video using a deep learning-based property extraction engine when receiving a video of continuous motion for checking various properties of a garment fabric; Extracts attribute keyframes for stretch, thickness, and wrinkled fabric images, and extracts attribute images that capture the degree to which the fabric is gradually stretched from a wrinkled state, and a feature image that captures the amount of jolly when the fabric is shaken left and right. Then, using a deep learning-based primary search engine, first search for fabrics similar to the basic fabric photo, rank them according to the degree of similarity, and then pull and stretch the fabric, the thickness of the fabric, and the image of the fabric being wrinkled. By correcting the rankings of similar fabrics corresponding to the primary search results by applying the video of the fabric to the extent to which it is slowly unfolded from a crumpled state, and the extent to which the fabric is jolly when shaken left and right to the deep learning-based secondary correction engine. , an artificial intelligence fabric search method that searches for and recommends similar fabrics using videos of various states of clothing fabrics that can search and recommend similar fabrics in consideration of various characteristics as well as basic shapes of fabrics. It relates to a recording medium in which a program is stored and a computer program stored in the recording medium to execute the same.
机译:本发明提供了一种基本织物图像的属性关键帧,其可以使用深度学习的特性提取发动机在接收到检查服装织物的各种性质的视频时,可以使用深度学习的性能提取发动机检查织物的性质。提取用于拉伸,厚度和皱纹结构图像的属性关键帧,并提取捕获织物逐渐从皱纹状态拉伸的程度的属性图像,以及当围绕织物左侧摇动时捕获快速的特征图像对。然后,使用深度学习的主要搜索引擎,首先搜索类似于基本织物照片的织物,根据相似度的程度排列它们,然后拉动并拉伸织物,织物的厚度,以及图像面料皱纹。通过将织物的视频施加到从皱巴巴的状态慢慢展开的程度校正与主要搜索结果对应的类似织物的排名,以及围绕左右摇动时织物快速的程度深度学习的二次校正引擎。 ,一种人工智能面料搜索方法,使用各种服装面料的视频搜索和推荐类似的面料,以考虑各种特征以及面料的基本形状,可以搜索和推荐类似的织物。它涉及一种记录介质,其中存储程序和存储在记录介质中以执行相同的计算机程序。

著录项

  • 公开/公告号KR20210066306A

    专利类型

  • 公开/公告日2021-06-07

    原文格式PDF

  • 申请/专利权人 주식회사 종달랩;

    申请/专利号KR1020190155371

  • 发明设计人 성종형;

    申请日2019-11-28

  • 分类号G06Q30/06;G06K9/46;

  • 国家 KR

  • 入库时间 2022-08-24 19:14:32

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