Bag-of-binary-features for fast image representation

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The possibility of integrating binary features into the bag-of-features (BoFs) model is explored. The set of binary features extracted from an image are packed into a single vector form, to yield the bag-of-binary-features (BoBFs). The efficient BoBF feature extraction and quantisation provide fast image representation. The trade-off between accuracy and efficiency in BoBF compared with BoF is investigated through image retrieval tasks. Experimental results demonstrate that BoBF is a competitive alternative to BoF when the run-time efficiency is critical.
Publisher
INST ENGINEERING TECHNOLOGY-IET
Issue Date
2015-04
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.51, no.7, pp.555 - 556

ISSN
0013-5194
DOI
10.1049/el.2015.0080
URI
http://hdl.handle.net/10203/200759
Appears in Collection
CS-Journal Papers(저널논문)
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