On Building a Universal and Compact Visual Vocabulary
Joint Authors
Hou, Jian
E, Xu
Karimi, Hamid Reza
Liu, Wei-Xue
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Bag-of-visual-words has been shown to be a powerful image representation and attained great success in many computer vision and pattern recognition applications.
Usually, for a given dataset, researchers choose to build a specific visual vocabulary from the dataset, and the problem of deriving a universal visual vocabulary is rarely addressed.
Based on previous work on the classification performance with respect to visual vocabulary sizes, we arrive at a hypothesis that a universal visual vocabulary can be obtained by taking-into account the similarity extent of keypoints represented by one visual word.
We then propose to use a similarity threshold-based clustering method to calculate the optimal vocabulary size, where the universal similarity threshold can be obtained empirically.
With the optimal vocabulary size, the optimal visual vocabularies of limited sizes from three datasets are shown to be exchangeable and therefore universal.
This result indicates that a universal and compact visual vocabulary can be built from a not too small dataset.
Our work narrows the gab between bag-of-visual-words and bag-of-words, where a relatively fixed vocabulary can be used with different text datasets.
American Psychological Association (APA)
Hou, Jian& Liu, Wei-Xue& E, Xu& Karimi, Hamid Reza. 2013. On Building a Universal and Compact Visual Vocabulary. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031705
Modern Language Association (MLA)
Hou, Jian…[et al.]. On Building a Universal and Compact Visual Vocabulary. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1031705
American Medical Association (AMA)
Hou, Jian& Liu, Wei-Xue& E, Xu& Karimi, Hamid Reza. On Building a Universal and Compact Visual Vocabulary. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1031705
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031705