首页> 外国专利> PERFORMING TAG-BASED FONT RETRIEVAL USING COMBINED FONT TAG RECOGNITION AND TAG-BASED FONT RETRIEVAL NEURAL NETWORKS

PERFORMING TAG-BASED FONT RETRIEVAL USING COMBINED FONT TAG RECOGNITION AND TAG-BASED FONT RETRIEVAL NEURAL NETWORKS

机译:使用组合字体标签识别和基于标签的字体检索神经网络来执行基于标签的字体检索

摘要

The present disclosure relates to a font retrieval system that utilizes a multi-learning framework to develop and improve tag-based font recognition using deep learning neural networks. In particular, the font retrieval system jointly utilizes a combined recognition/retrieval model to generate font affinity scores corresponding to a list of font tags. Further, based on the font affinity scores, the font retrieval system identifies one or more fonts to recommend in response to the list of font tags such that the one or more provided fonts fairly reflect each of the font tags. Indeed, the font retrieval system utilizes a trained font retrieval neural network to efficiently and accurately identify and retrieve fonts in response to a text font tag query.
机译:本公开涉及一种字体检索系统,其利用多学习框架来使用深度学习神经网络来开发和改进基于标签的字体识别。特别地,字体检索系统共同利用组合的识别/检索模型来生成与字体标签列表相对应的字体亲和力得分。此外,基于字体亲和力得分,字体检索系统响应于字体标签列表识别要推荐的一种或多种字体,以使得一种或多种提供的字体公平地反映每种字体标签。实际上,字体检索系统利用受过训练的字体检索神经网络来响应于文本字体标签查询而有效且准确地识别和检索字体。

著录项

  • 公开/公告号US2020311186A1

    专利类型

  • 公开/公告日2020-10-01

    原文格式PDF

  • 申请/专利权人 ADOBE INC.;

    申请/专利号US201916369893

  • 申请日2019-03-29

  • 分类号G06F17/21;G06K9/68;G06K9/62;G06N3/08;G06F16/33;

  • 国家 US

  • 入库时间 2022-08-21 11:22:29

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