{"title":"当代IR知识管理与检索技术的智能融合","authors":"A. Khodaskar, S. Ladhake","doi":"10.1109/CICN.2016.129","DOIUrl":null,"url":null,"abstract":"This paper presents an epigrammatic overview of role of knowledge in image retrieval and recent advances in image retrieval techniques. We also proposed a new image retrieval technique for content based image retrieval system which incorporates image mining, amalgam knowledge management technique and advance concept based image retrieval technique. Proposed system excavated knowledge by mining large image database and then extracted knowledge managed and represented by using hybrid knowledge management methodology. We introduce advanced image retrieval technique to retrieve fast and precise image as per user obligation. We work on small image database. Performance of the proposed technique in content based image retrieval system is evaluated on the basis of precision, recall and accuracy.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Contemporary Intelligent Amalgamation of Knowledge Management and Retrieval Technique for IR\",\"authors\":\"A. Khodaskar, S. Ladhake\",\"doi\":\"10.1109/CICN.2016.129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an epigrammatic overview of role of knowledge in image retrieval and recent advances in image retrieval techniques. We also proposed a new image retrieval technique for content based image retrieval system which incorporates image mining, amalgam knowledge management technique and advance concept based image retrieval technique. Proposed system excavated knowledge by mining large image database and then extracted knowledge managed and represented by using hybrid knowledge management methodology. We introduce advanced image retrieval technique to retrieve fast and precise image as per user obligation. We work on small image database. Performance of the proposed technique in content based image retrieval system is evaluated on the basis of precision, recall and accuracy.\",\"PeriodicalId\":189849,\"journal\":{\"name\":\"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICN.2016.129\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2016.129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contemporary Intelligent Amalgamation of Knowledge Management and Retrieval Technique for IR
This paper presents an epigrammatic overview of role of knowledge in image retrieval and recent advances in image retrieval techniques. We also proposed a new image retrieval technique for content based image retrieval system which incorporates image mining, amalgam knowledge management technique and advance concept based image retrieval technique. Proposed system excavated knowledge by mining large image database and then extracted knowledge managed and represented by using hybrid knowledge management methodology. We introduce advanced image retrieval technique to retrieve fast and precise image as per user obligation. We work on small image database. Performance of the proposed technique in content based image retrieval system is evaluated on the basis of precision, recall and accuracy.