Qualitative vocabulary based descriptor
2013 (English)In: ICPRAM 2013: Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods, 2013, 188-193 p.Conference paper (Refereed)
Creating a single feature descriptors from a collection of feature responses is an often occurring task. As such the bag-of-words descriptors have been very successful and applied to data from a large range of different domains. Central to this approach is making an association of features to words. In this paper we present a new and novel approach to feature to word association problem. The proposed method creates a more robust representation when data is noisy and requires less words compared to the traditional methods while retaining similar performance. We experimentally evaluate the method on a challenging image classification data-set and show significant improvement to the state of the art.
Place, publisher, year, edition, pages
2013. 188-193 p.
Bag-of-words model, Image classification, Bag of words, Bag-of-words models, Descriptors, Different domains, Feature descriptors, State of the art, Word association, Information retrieval, Pattern recognition
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-134456ScopusID: 2-s2.0-84877972429ISBN: 9789898565419OAI: oai:DiVA.org:kth-134456DiVA: diva2:675627
2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013, 15 February 2013 through 18 February 2013, Barcelona
QC 201312042013-12-042013-11-252013-12-04Bibliographically approved