Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
  • text
  • asciidoc
  • rtf
Gradual improvement of image descriptor quality
KTH, School of Biotechnology (BIO), Gene Technology.
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. (Computer Vision and Active Perception (CVAP) Lab)
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
2014 (English)In: ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014, 233-238 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we propose a framework for gradually improving the quality of an already existing image descriptor. The descriptor used in this paper (Afkham et al., 2013) uses the response of a series of discriminative components for summarizing each image. As we will show, this descriptor has an ideal form in which all categories become linearly separable. While, reaching this form is not feasible, we will argue how by replacing a small fraction of these components, it is possible to obtain a descriptor which is, on average, closer to this ideal form. To do so, we initially identify which components do not contribute to the quality of the descriptor and replace them with more robust components. Here, a joint feature selection method is used to find improved components. As our experiments show, this change directly reflects in the capability of the resulting descriptor in discriminating between different categories.

Place, publisher, year, edition, pages
2014. 233-238 p.
Keyword [en]
Image classification, Image summarization, Pattern recognition, Descriptors, Discriminative components, Feature selection methods, Image Descriptor, Linearly separable
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-167883Scopus ID: 2-s2.0-84902324393ISBN: 9789897580185 (print)OAI: oai:DiVA.org:kth-167883DiVA: diva2:821202
Conference
3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014, 6 March 2014 through 8 March 2014, Angers, Loire Valley
Note

QC 20150615

Available from: 2015-06-15 Created: 2015-05-22 Last updated: 2015-06-15Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Afkham, Heydar MaboudiEk, Carl HenrikCarlsson, Stefan
By organisation
Gene TechnologyComputer Vision and Active Perception, CVAP
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 144 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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
  • text
  • asciidoc
  • rtf