FAemb: a function approximation-based embedding method for image retrieval

Thanh-Toan Do, Quang D. Tran, Ngai Man Cheung

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

24 Citations (Scopus)

Abstract

The objective of this paper is to design an embedding method mapping local features describing image (e.g. SIFT) to a higher dimensional representation used for image retrieval problem. By investigating the relationship between the linear approximation of a nonlinear function in high dimensional space and state-of-the-art feature representation used in image retrieval, i.e., VLAD, we first introduce a new approach for the approximation. The embedded vectors resulted by the function approximation process are then aggregated to form a single representation used in the image retrieval framework. The evaluation shows that our embedding method gives a performance boost over the state of the art in image retrieval, as demonstrated by our experiments on the standard public image retrieval benchmarks.

Original languageEnglish
Title of host publication2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
EditorsKristen Grauman, Erik Learned-Miller, Antonio Torralba, Andrew Zisserman
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3556-3564
Number of pages9
ISBN (Electronic)9781467369640, 9781467369633
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventIEEE Conference on Computer Vision and Pattern Recognition 2015 - Hynes Convention Center, Boston, United States of America
Duration: 7 Jun 201512 Jun 2015
http://www.pamitc.org/cvpr15/ (Website)
https://ieeexplore.ieee.org/xpl/conhome/7293313/proceeding (Proceedings)

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume07-12-June-2015
ISSN (Print)1063-6919
ISSN (Electronic)1063-6919

Conference

ConferenceIEEE Conference on Computer Vision and Pattern Recognition 2015
Abbreviated titleCVPR 2015
CountryUnited States of America
CityBoston
Period7/06/1512/06/15
Internet address

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