{"title":"基于内容的模糊信息检索——图像检索综述","authors":"S. Bajpai, D. Sharma","doi":"10.1109/iciptm52218.2021.9388348","DOIUrl":null,"url":null,"abstract":"Due to the excessive increase in visual data set on the web it has led to the fuzziness of not able to search mage based on ranking and inconsistency. The Content Based Fuzzy Information Retrieval has led to the sustainability of achieving better results through visual identification and neglecting noise. The semantic gap between similar images and tags attached to it has led to challenges that are encountered in the present world. The proposed algorithm to quantify and evaluate algorithm are studied and surveyed in this paper.","PeriodicalId":315265,"journal":{"name":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrieving images through Content Based Fuzzy Information Retrieval-A Survey\",\"authors\":\"S. Bajpai, D. Sharma\",\"doi\":\"10.1109/iciptm52218.2021.9388348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the excessive increase in visual data set on the web it has led to the fuzziness of not able to search mage based on ranking and inconsistency. The Content Based Fuzzy Information Retrieval has led to the sustainability of achieving better results through visual identification and neglecting noise. The semantic gap between similar images and tags attached to it has led to challenges that are encountered in the present world. The proposed algorithm to quantify and evaluate algorithm are studied and surveyed in this paper.\",\"PeriodicalId\":315265,\"journal\":{\"name\":\"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iciptm52218.2021.9388348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Innovative Practices in Technology and Management (ICIPTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iciptm52218.2021.9388348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Retrieving images through Content Based Fuzzy Information Retrieval-A Survey
Due to the excessive increase in visual data set on the web it has led to the fuzziness of not able to search mage based on ranking and inconsistency. The Content Based Fuzzy Information Retrieval has led to the sustainability of achieving better results through visual identification and neglecting noise. The semantic gap between similar images and tags attached to it has led to challenges that are encountered in the present world. The proposed algorithm to quantify and evaluate algorithm are studied and surveyed in this paper.
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