School of Automation and Electrical Engineering, University of Science & Technology Beijing School of Computer & Information Engineering, Tianjin Normal University
Zhiliang WANG
School of Computer & Communication Engineering, University of Science & Technology Beijing
Xirong MA
School of Computer & Information Engineering, Tianjin Normal University
Published: April 01, 2013Manuscript Received: May 30, 2012Released on J-STAGE: April 01, 2013Accepted: -
Advance online publication: -
Manuscript Revised: December 05, 2012
For the problem of Indoor Home Scene Classification, this paper proposes the BOW Model of Local Feature Information Gain. The experimental results show that not only the performance is improved but also the computation is reduced. Consequently this method out performs the state-of-the-art approach.
