Stephen Bock, S. Newsome, Q. Wang, W. Zeng, X. Lin, Jian Lu
{"title":"iImage:一个基于图像的iPhone信息检索应用程序","authors":"Stephen Bock, S. Newsome, Q. Wang, W. Zeng, X. Lin, Jian Lu","doi":"10.1109/CCNC.2010.5421733","DOIUrl":null,"url":null,"abstract":"Image processing is a powerful technology that can be used to analyze an image for many useful purposes. However, software like this is often out ofthe typical user's reach. iImage directly confronts this problem. The iImage application takes the sophisticated technologies of image analysis and identification based on MPEG-7 image feature tools and makes them readily available on the go. With the use of the iPhone Source Development Kit, iImage has become an application that is available on the world's most popular mobile device. The user simply takes a photo using the iPhone's built in camera, and in seconds appear similar images with relevant information from within our database.","PeriodicalId":172400,"journal":{"name":"2010 7th IEEE Consumer Communications and Networking Conference","volume":"487 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"iImage: An Image Based Information Retrieval Application for the iPhone\",\"authors\":\"Stephen Bock, S. Newsome, Q. Wang, W. Zeng, X. Lin, Jian Lu\",\"doi\":\"10.1109/CCNC.2010.5421733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Image processing is a powerful technology that can be used to analyze an image for many useful purposes. However, software like this is often out ofthe typical user's reach. iImage directly confronts this problem. The iImage application takes the sophisticated technologies of image analysis and identification based on MPEG-7 image feature tools and makes them readily available on the go. With the use of the iPhone Source Development Kit, iImage has become an application that is available on the world's most popular mobile device. The user simply takes a photo using the iPhone's built in camera, and in seconds appear similar images with relevant information from within our database.\",\"PeriodicalId\":172400,\"journal\":{\"name\":\"2010 7th IEEE Consumer Communications and Networking Conference\",\"volume\":\"487 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 7th IEEE Consumer Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2010.5421733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 7th IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2010.5421733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
iImage: An Image Based Information Retrieval Application for the iPhone
Image processing is a powerful technology that can be used to analyze an image for many useful purposes. However, software like this is often out ofthe typical user's reach. iImage directly confronts this problem. The iImage application takes the sophisticated technologies of image analysis and identification based on MPEG-7 image feature tools and makes them readily available on the go. With the use of the iPhone Source Development Kit, iImage has become an application that is available on the world's most popular mobile device. The user simply takes a photo using the iPhone's built in camera, and in seconds appear similar images with relevant information from within our database.