Cultural relic artwork feature extraction method based on image recognition technology
The invention discloses a cultural relic artwork feature extraction method based on an image recognition technology, and the method employs a deep learning technology in computer vision to carry out the feature extraction and attribute analysis of the cultural relic artwork, and achieves the explici...
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creator | QI YUKUN ZHOU YUAN YAN QIAN JIANG QICHEN WANG ZHONGSHU JIN DONGWEI |
description | The invention discloses a cultural relic artwork feature extraction method based on an image recognition technology, and the method employs a deep learning technology in computer vision to carry out the feature extraction and attribute analysis of the cultural relic artwork, and achieves the explicit analysis of various attributes or related reference values of the cultural relic artwork. According to the invention, the attributes of cultural relics and artworks can be accurately identified.
本发明公开了一种基于图像识别技术的文物艺术品特征提取方法,利用计算机视觉中深度学习的技术对文物艺术品进行特征提取和属性分析,显式分析出文物艺术品的各种属性或相关参考数值。利用本发明,可以实现对文物艺术品的属性进行准确识别。 |
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本发明公开了一种基于图像识别技术的文物艺术品特征提取方法,利用计算机视觉中深度学习的技术对文物艺术品进行特征提取和属性分析,显式分析出文物艺术品的各种属性或相关参考数值。利用本发明,可以实现对文物艺术品的属性进行准确识别。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220617&DB=EPODOC&CC=CN&NR=114638967A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220617&DB=EPODOC&CC=CN&NR=114638967A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>QI YUKUN</creatorcontrib><creatorcontrib>ZHOU YUAN</creatorcontrib><creatorcontrib>YAN QIAN</creatorcontrib><creatorcontrib>JIANG QICHEN</creatorcontrib><creatorcontrib>WANG ZHONGSHU</creatorcontrib><creatorcontrib>JIN DONGWEI</creatorcontrib><title>Cultural relic artwork feature extraction method based on image recognition technology</title><description>The invention discloses a cultural relic artwork feature extraction method based on an image recognition technology, and the method employs a deep learning technology in computer vision to carry out the feature extraction and attribute analysis of the cultural relic artwork, and achieves the explicit analysis of various attributes or related reference values of the cultural relic artwork. According to the invention, the attributes of cultural relics and artworks can be accurately identified.
本发明公开了一种基于图像识别技术的文物艺术品特征提取方法,利用计算机视觉中深度学习的技术对文物艺术品进行特征提取和属性分析,显式分析出文物艺术品的各种属性或相关参考数值。利用本发明,可以实现对文物艺术品的属性进行准确识别。</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEOgkAQRWksjHqH8QAWBINSGqKxsjK2ZFw-sHHZIbtD1NtLjAew-nkv78-TWzk6HQM7CnDWEAd9SnhQA540CC8NbNSKpx7aSU13jqhpYttzi-lmpPX2WyhM58VJ-14ms4ZdxOq3i2R9Ol7L8waDVIgDG3hoVV7SdJtn-yLfHbJ_mg994Dpm</recordid><startdate>20220617</startdate><enddate>20220617</enddate><creator>QI YUKUN</creator><creator>ZHOU YUAN</creator><creator>YAN QIAN</creator><creator>JIANG QICHEN</creator><creator>WANG ZHONGSHU</creator><creator>JIN DONGWEI</creator><scope>EVB</scope></search><sort><creationdate>20220617</creationdate><title>Cultural relic artwork feature extraction method based on image recognition technology</title><author>QI YUKUN ; ZHOU YUAN ; YAN QIAN ; JIANG QICHEN ; WANG ZHONGSHU ; JIN DONGWEI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114638967A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>QI YUKUN</creatorcontrib><creatorcontrib>ZHOU YUAN</creatorcontrib><creatorcontrib>YAN QIAN</creatorcontrib><creatorcontrib>JIANG QICHEN</creatorcontrib><creatorcontrib>WANG ZHONGSHU</creatorcontrib><creatorcontrib>JIN DONGWEI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>QI YUKUN</au><au>ZHOU YUAN</au><au>YAN QIAN</au><au>JIANG QICHEN</au><au>WANG ZHONGSHU</au><au>JIN DONGWEI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Cultural relic artwork feature extraction method based on image recognition technology</title><date>2022-06-17</date><risdate>2022</risdate><abstract>The invention discloses a cultural relic artwork feature extraction method based on an image recognition technology, and the method employs a deep learning technology in computer vision to carry out the feature extraction and attribute analysis of the cultural relic artwork, and achieves the explicit analysis of various attributes or related reference values of the cultural relic artwork. According to the invention, the attributes of cultural relics and artworks can be accurately identified.
本发明公开了一种基于图像识别技术的文物艺术品特征提取方法,利用计算机视觉中深度学习的技术对文物艺术品进行特征提取和属性分析,显式分析出文物艺术品的各种属性或相关参考数值。利用本发明,可以实现对文物艺术品的属性进行准确识别。</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | Cultural relic artwork feature extraction method based on image recognition technology |
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