{"title":"JIRL - A C++ Library for JPEG Compressed Domain Image Retrieval","authors":"David Edmundson, G. Schaefer","doi":"10.1109/ISM.2012.48","DOIUrl":null,"url":null,"abstract":"In this paper we present JIRL, an open source C++ software suite that allows to perform content-based image retrieval in the JPEG compressed domain. We provide implementations of nine retrieval algorithms representing the current state-of-the-art. For each algorithm, methods for compressed domain feature extraction as well as feature comparison are provided in an object-oriented framework. In addition, our software suite includes functionality for benchmarking retrieval algorithms in terms of retrieval performance and retrieval time. An example full image retrieval application is also provided to demonstrate how the library can be used. JIRL is made available to fellow researchers under the LGPL.","PeriodicalId":282528,"journal":{"name":"2012 IEEE International Symposium on Multimedia","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Symposium on Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISM.2012.48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we present JIRL, an open source C++ software suite that allows to perform content-based image retrieval in the JPEG compressed domain. We provide implementations of nine retrieval algorithms representing the current state-of-the-art. For each algorithm, methods for compressed domain feature extraction as well as feature comparison are provided in an object-oriented framework. In addition, our software suite includes functionality for benchmarking retrieval algorithms in terms of retrieval performance and retrieval time. An example full image retrieval application is also provided to demonstrate how the library can be used. JIRL is made available to fellow researchers under the LGPL.