{"title":"基于图像分割技术的艺术品图像特征提取技术研究","authors":"Junzhe Shen","doi":"10.1145/3584748.3584809","DOIUrl":null,"url":null,"abstract":"In recent years, artificial intelligence technology has developed rapidly, and image recognition and image retrieval based on intelligent technology are current research hotspots. Based on the excellent performance of image segmentation technology in recognition, detection, and semantic segmentation, this paper recognizes images, and then extracts image features of artworks, which improves the accuracy and efficiency of recognition.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"61 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on Image Feature Extraction Technology of Art Works Based on Image Segmentation Technology\",\"authors\":\"Junzhe Shen\",\"doi\":\"10.1145/3584748.3584809\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, artificial intelligence technology has developed rapidly, and image recognition and image retrieval based on intelligent technology are current research hotspots. Based on the excellent performance of image segmentation technology in recognition, detection, and semantic segmentation, this paper recognizes images, and then extracts image features of artworks, which improves the accuracy and efficiency of recognition.\",\"PeriodicalId\":241758,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"61 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584748.3584809\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584809","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Image Feature Extraction Technology of Art Works Based on Image Segmentation Technology
In recent years, artificial intelligence technology has developed rapidly, and image recognition and image retrieval based on intelligent technology are current research hotspots. Based on the excellent performance of image segmentation technology in recognition, detection, and semantic segmentation, this paper recognizes images, and then extracts image features of artworks, which improves the accuracy and efficiency of recognition.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
