Current studentsExisting staffContact us
 

Boosting object retrieval with group queries

Simple item page
dc.contributor.authorChen, Y.
dc.contributor.authorLi, X.
dc.contributor.authorDick, A.
dc.contributor.authorVan Den Hengel, A.
dc.date.issued2012
dc.description.abstractGiven a query image of an object, object retrieval aims to return all images from a corpus that depict the same object. Inevitably, the accuracy of the result depends strongly on the quality of the query image. Several measures have been taken to improve retrieval result quality, including the addition of a bounding box to the query, the mining of highly ranked results for more views of the object, and spatial consistency re-ranking. In this letter, we propose a discriminative criterion for improving result quality. This criterion lends itself to the addition of extra query data, and we show that multiple query images can be combined to produce enhanced results. Experiments compare the performance of the method to state-of-the-art in object retrieval, and show how performance is lifted by the inclusion of further query images.
dc.description.statementofresponsibilityYanzhi Chen, Xi Li, Anthony Dick and Anton van den Hengel
dc.identifier.citationIEEE Signal Processing Letters, 2012; 19(11):765-768
dc.identifier.doi10.1109/LSP.2012.2216875
dc.identifier.issn1070-9908
dc.identifier.issn1558-2361
dc.identifier.orcidDick, A. [0000-0001-9049-7345]
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/73844
dc.language.isoen
dc.publisherIEEE-Inst Electrical Electronics Engineers Inc
dc.rights© 2012 IEEE
dc.source.urihttps://doi.org/10.1109/lsp.2012.2216875
dc.subjectDiscriminative ranking function
dc.subjectgroup query
dc.subjectobject retrieval
dc.titleBoosting object retrieval with group queries
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Computer Science publications