Gradual improvement of image descriptor quality
2014 (English)In: ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, 2014, 233-238 p.Conference paper (Refereed)
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.
Image classification, Image summarization, Pattern recognition, Descriptors, Discriminative components, Feature selection methods, Image Descriptor, Linearly separable
Medical Image Processing
IdentifiersURN: urn:nbn:se:kth:diva-167883ScopusID: 2-s2.0-84902324393ISBN: 9789897580185OAI: oai:DiVA.org:kth-167883DiVA: diva2:821202
3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014, 6 March 2014 through 8 March 2014, Angers, Loire Valley
QC 201506152015-06-152015-05-222015-06-15Bibliographically approved