{"title":"基于fii的图像检索引擎实现","authors":"Tan Hao, Chen Yu, Q. Hang","doi":"10.1109/ICACIA.2009.5361084","DOIUrl":null,"url":null,"abstract":"An Image Feature Inverted Indexing(FII) method is proposed. Based on this method, a prototype of Content-Based Image Retrieval Engine named Eva is implemented. It extracts shape and texture feature from user's pictures, retrieves similar pictures with FII method. The efficiency of FII is also analyzed.","PeriodicalId":423210,"journal":{"name":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Implementation of FII-based Image Retrieval Engine\",\"authors\":\"Tan Hao, Chen Yu, Q. Hang\",\"doi\":\"10.1109/ICACIA.2009.5361084\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An Image Feature Inverted Indexing(FII) method is proposed. Based on this method, a prototype of Content-Based Image Retrieval Engine named Eva is implemented. It extracts shape and texture feature from user's pictures, retrieves similar pictures with FII method. The efficiency of FII is also analyzed.\",\"PeriodicalId\":423210,\"journal\":{\"name\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Conference on Apperceiving Computing and Intelligence Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACIA.2009.5361084\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Apperceiving Computing and Intelligence Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACIA.2009.5361084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implementation of FII-based Image Retrieval Engine
An Image Feature Inverted Indexing(FII) method is proposed. Based on this method, a prototype of Content-Based Image Retrieval Engine named Eva is implemented. It extracts shape and texture feature from user's pictures, retrieves similar pictures with FII method. The efficiency of FII is also analyzed.
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