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Hierarchically Structured Multi-View Features for Mobile Visual Search
KTH, School of Electrical Engineering (EES), Communication Theory.
KTH, School of Electrical Engineering (EES), Communication Theory.ORCID iD: 0000-0002-7807-5681
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an approach for using hierarchically structured multi-view features for mobile visual search. We utilize a graph model to describe the feature correspondences between multi-view images. To add features of images from new viewpoints, we design a level raising algorithm and the associated multi-view geometric verification, which are based on the properties of the hierarchical structure. With this approach, features from new viewpoints can be recursively added in an incremental fashion. Additionally, we design a query matching strategy which utilizes the advantage of the hierarchical structure. The experimental results show that our structure of the multi-view feature database can efficiently improve the performance of mobile visual search.

Place, publisher, year, edition, pages
2014. 23-32 p.
Series
Data Compression Conference Proceedings, ISSN 1068-0314
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-145041DOI: 10.1109/DCC.2014.43Scopus ID: 2-s2.0-84903460945ISBN: 978-147993882-7 (print)OAI: oai:DiVA.org:kth-145041DiVA: diva2:715835
Conference
2014 Data Compression Conference, DCC 2014; Snowbird, UT; United States; 26 March 2014 through 28 March 2014
Note

QC 20150202

Available from: 2014-05-06 Created: 2014-05-06 Last updated: 2015-02-02Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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