{"title":"Binary feature-based image retrieval with effective indexing and scoring","authors":"Yusuke Uchida, S. Sakazawa, S. Satoh","doi":"10.1109/GCCE.2014.7031244","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a stand-alone mobile visual search system based on binary features and bag of visual words framework. The contribution of this paper is two-fold: (1) a visual word-dependent substring extraction method is proposed; (2) a modified version of the local NBNN scoring method is proposed in the context of image retrieval. The proposed system improves retrieval accuracy by 11% compared with a conventional method without increasing the database size.","PeriodicalId":145771,"journal":{"name":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCCE.2014.7031244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we propose a stand-alone mobile visual search system based on binary features and bag of visual words framework. The contribution of this paper is two-fold: (1) a visual word-dependent substring extraction method is proposed; (2) a modified version of the local NBNN scoring method is proposed in the context of image retrieval. The proposed system improves retrieval accuracy by 11% compared with a conventional method without increasing the database size.