{"title":"交互式图像理解","authors":"A. Hanson","doi":"10.1145/800171.809629","DOIUrl":null,"url":null,"abstract":"Cooperation between a human expert and an image processing system can give much better results than either the human or computer working alone. The computer must display geometrical information that exploits the perceptual characteristics of the human user, while the human must convey to the computer system ideas that can result in practical computation. We discuss new image understanding systems with human interfaces that support a powerful dialog about image features and characteristics.","PeriodicalId":72321,"journal":{"name":"ASSETS. Annual ACM Conference on Assistive Technologies","volume":"26 1","pages":"228-229"},"PeriodicalIF":0.0000,"publicationDate":"1984-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Interactive image understanding\",\"authors\":\"A. Hanson\",\"doi\":\"10.1145/800171.809629\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cooperation between a human expert and an image processing system can give much better results than either the human or computer working alone. The computer must display geometrical information that exploits the perceptual characteristics of the human user, while the human must convey to the computer system ideas that can result in practical computation. We discuss new image understanding systems with human interfaces that support a powerful dialog about image features and characteristics.\",\"PeriodicalId\":72321,\"journal\":{\"name\":\"ASSETS. Annual ACM Conference on Assistive Technologies\",\"volume\":\"26 1\",\"pages\":\"228-229\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1984-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ASSETS. Annual ACM Conference on Assistive Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800171.809629\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ASSETS. Annual ACM Conference on Assistive Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800171.809629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperation between a human expert and an image processing system can give much better results than either the human or computer working alone. The computer must display geometrical information that exploits the perceptual characteristics of the human user, while the human must convey to the computer system ideas that can result in practical computation. We discuss new image understanding systems with human interfaces that support a powerful dialog about image features and characteristics.