| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPBW34M/3EDL7SB | |||
| Repository | sid.inpe.br/sibgrapi/2013/07.05.17.57 | |||
| Last Update | 2013:07.05.17.57.59 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2013/07.05.17.57.59 | |||
| Metadata Last Update | 2022:06.14.00.07.44 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI.2013.54 | |||
| Citation Key | PedronetteTorr:2013:UnMeEs | |||
| Title | Unsupervised measures for estimating the effectiveness of image retrieval systems  | |||
| Format | On-line. | |||
| Year | 2013 | |||
| Access Date | 2024, May 02 | |||
| Number of Files | 1 | |||
| Size | 3752 KiB | |||
| 2. Context | ||||
| Author | 1 Pedronette, Daniel Carlos Guimarães 2 Torres, Ricardo da S. | |||
| Affiliation | 1 State University of São Paulo (UNESP) 2 University of Campinas (UNICAMP) | |||
| Editor | Boyer, Kim Hirata, Nina Nedel, Luciana Silva, Claudio | |||
| e-Mail Address | pedronette@gmail.com | |||
| Conference Name | Conference on Graphics, Patterns and Images, 26 (SIBGRAPI) | |||
| Conference Location | Arequipa, Peru | |||
| Date | 5-8 Aug. 2013 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2013-07-05 17:57:59 :: pedronette@gmail.com -> administrator :: 2022-06-14 00:07:44 :: administrator -> :: 2013 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | effectiveness estimation content-based image retrieval rank aggregation | |||
| Abstract | The main objective of Content-Based Image Retrieval (CBIR) systems is to retrieve a ranked list containing the most similar images of a collection given a query image, by taking into account their visual content. Although these systems represent a very promising approach, in many situations is very challenging to assure the quality of returned ranked lists. Supervised approaches rely on training data and information obtained from user interactions to identify and then improve low-quality results. However, these approaches require a lot of human efforts which can be infeasible for many systems. In this paper, we present two novel unsupervised measures for estimating the effectiveness of ranked lists in CBIR tasks. Given an estimation of the effectiveness of ranked lists, many CBIR systems can, for example, emulate the training process, but now without any user intervention. Improvements can also be achieved on several unsupervised approaches, such as re-ranking and rank aggregation methods, once the estimation measures can help to consider more relevant information by distinguishing effective from non-effective ranked lists. Both proposed measures are computed using a novel image representation of ranked lists and distances among images considering a given dataset. The objective is to exploit the visual patterns encoded in the image representations for estimating the effectiveness of ranked lists. Experiments involving shape, color, and texture descriptors demonstrate that the proposed approaches can provide accurate estimations of the quality in terms of effectiveness of ranked lists. The use of proposed measures are also evaluated in image retrieval tasks aiming at improving the effectiveness of rank aggregation approaches. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2013 > Unsupervised measures for... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Unsupervised measures for... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3EDL7SB | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3EDL7SB | |||
| Language | en | |||
| Target File | PID2848405.pdf | |||
| User Group | pedronette@gmail.com | |||
| Visibility | shown | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPEW34M/46SLB4P 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.04.02 7 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||