Cross-Modal Retrieval: A Pairwise Classification Approach
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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.author | Menon, Aditya | |
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dc.contributor.author | Surian, Didi | |
dc.contributor.author | Chawla, Sanjay | |
dc.coverage.spatial | Vancouver, British Columbia, Canada | |
dc.date.accessioned | 2016-06-14T23:21:16Z | |
dc.date.created | April 30 to May 2, 2015 | |
dc.identifier.isbn | 9781611974010 | |
dc.identifier.uri | http://hdl.handle.net/1885/103814 | |
dc.description.abstract | 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 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.publisher | SIAM Publications | |
dc.relation.ispartofseries | 2015 SIAM International Conference on Data Mining | |
dc.source | Cross-Modal Retrieval: A Pairwise Classification Approach | |
dc.title | Cross-Modal Retrieval: A Pairwise Classification Approach | |
dc.type | Conference paper | |
local.description.notes | Imported from ARIES | |
local.description.refereed | Yes | |
dc.date.issued | 2015 | |
local.identifier.absfor | 080604 - Database Management | |
local.identifier.ariespublication | u4334215xPUB1565 | |
local.type.status | Published Version | |
local.contributor.affiliation | Menon, Aditya, College of Engineering and Computer Science, ANU | |
local.contributor.affiliation | Surian, Didi, NICTA | |
local.contributor.affiliation | Chawla, Sanjay, University of Sydney | |
local.description.embargo | 2037-12-31 | |
local.bibliographicCitation.startpage | 199 | |
local.bibliographicCitation.lastpage | 207 | |
local.identifier.doi | 10.1137/1.9781611974010.23 | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2016-06-14T09:03:52Z | |
local.identifier.scopusID | 2-s2.0-84961878145 | |
Collections | ANU Research Publications |
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