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Type: Journal article
Title: Boosting object retrieval with group queries
Author: Chen, Y.
Li, X.
Dick, A.
Van Den Hengel, A.
Citation: IEEE Signal Processing Letters, 2012; 19(11):765-768
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2012
ISSN: 1070-9908
Statement of
Yanzhi Chen, Xi Li, Anthony Dick and Anton van den Hengel
Abstract: Given 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.
Keywords: Discriminative ranking function
group query
object retrieval
Rights: © 2012 IEEE
DOI: 10.1109/LSP.2012.2216875
Appears in Collections:Aurora harvest
Computer Science publications

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