基于fii的图像检索引擎实现

2009 International Conference on Apperceiving Computing and Intelligence Analysis Pub Date : 2009-12-28 DOI:10.1109/ICACIA.2009.5361084

Tan Hao, Chen Yu, Q. Hang

{"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}

引用次数: 3

摘要

提出了一种图像特征倒排索引(FII)方法。在此基础上，实现了基于内容的图像检索引擎原型Eva。从用户图片中提取形状和纹理特征，用FII方法检索相似图片。分析了FII的效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2009 International Conference on Apperceiving Computing and Intelligence Analysis

自引率

0.00%

发文量