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Cross-Modal Retrieval: A Pairwise Classification Approach

Menon, Aditya; Surian, Didi; Chawla, Sanjay

Description

Content is increasingly available in multiple modalities (such as images, text, and video), each of which provides a different representation of some entity. The cross-modal retrieval problem is: given the representation of an entity in one modality, find its best representation in all other modalities. We propose a novel approach to this problem based on pairwise classification. The approach seamlessly applies to both the settings where ground-truth annotations for the entities are absent and...[Show more]

dc.contributor.authorMenon, Aditya
dc.contributor.authorSurian, Didi
dc.contributor.authorChawla, Sanjay
dc.coverage.spatialVancouver, British Columbia, Canada
dc.date.accessioned2016-06-14T23:21:16Z
dc.date.createdApril 30 to May 2, 2015
dc.identifier.isbn9781611974010
dc.identifier.urihttp://hdl.handle.net/1885/103814
dc.description.abstractContent is increasingly available in multiple modalities (such as images, text, and video), each of which provides a different representation of some entity. The cross-modal retrieval problem is: given the representation of an entity in one modality, find its best representation in all other modalities. We propose a novel approach to this problem based on pairwise classification. The approach seamlessly applies to both the settings where ground-truth annotations for the entities are absent and present. In the former case, the approach considers both positive and unlabelled links that arise in standard cross-modal retrieval datasets. Empirical comparisons show improvements over state-of-the-art methods for cross-modal retrieval
dc.publisherSIAM Publications
dc.relation.ispartofseries2015 SIAM International Conference on Data Mining
dc.sourceCross-Modal Retrieval: A Pairwise Classification Approach
dc.titleCross-Modal Retrieval: A Pairwise Classification Approach
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2015
local.identifier.absfor080604 - Database Management
local.identifier.ariespublicationu4334215xPUB1565
local.type.statusPublished Version
local.contributor.affiliationMenon, Aditya, College of Engineering and Computer Science, ANU
local.contributor.affiliationSurian, Didi, NICTA
local.contributor.affiliationChawla, Sanjay, University of Sydney
local.description.embargo2037-12-31
local.bibliographicCitation.startpage199
local.bibliographicCitation.lastpage207
local.identifier.doi10.1137/1.9781611974010.23
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-06-14T09:03:52Z
local.identifier.scopusID2-s2.0-84961878145
CollectionsANU Research Publications

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