Improving Bag-of-Words model with spatial information

Zhang, Edmond Yiwen; Mayo, Michael

doi:10.1109/IVCNZ.2010.6148795

Files

Zhang Mayo ivcnz10.pdf

1.173Mb

DOI

10.1109/IVCNZ.2010.6148795

Citation

Export citation

Zhang, E. & Mayo, M. (2010) Improving Bag-of-Words model with spatial information. Paper presented at the 25th International Conference of Image and Vision Computing New Zealand, Queenstown, 8 & 9 November 2010.

Permanent Research Commons link: https://hdl.handle.net/10289/4874

Abstract

Bag-of-Words (BOW) models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has been proposed over the years to improve the BOW model, where the Spatial Pyramid Matching technique is the most notable. In this work, we propose three novel techniques to capture more re_ned spatial information between image features than that provided by the Spatial Pyramids. Our techniques demonstrate a performance gain over the Spatial Pyramid representation of the BOW model.

Date

2010

Type

Conference Contribution

Publisher

IEEE

Rights

© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Collections

Computing and Mathematical Sciences Papers [1279]