TY  - CONF
AU  - Hugo Jair Escalante
AU  - Jose Martinez
AU  - Sergio Escalera
AU  - Victor Ponce
AU  - Xavier Baro
A2  - IJCNN
PY  - 2015//
TI  - Improving  Bag of Visual Words Representations with Genetic Programming
BT  - IEEE International Joint Conference on Neural Networks IJCNN2015
N2  - The bag of visual words is a well established representation in diverse computer vision problems. Taking inspiration from the fields of text mining and retrieval, this representation has proved to be very effective in a large number of domains.In most cases, a standard term-frequency weighting scheme is considered for representing images and videos in computer vision. This is somewhat surprising, as there are many alternative ways of generating bag of words representations within the text processing community. This paper explores the use of alternative weighting schemes for landmark tasks in computer vision: imagecategorization and gesture recognition. We study the suitability of using well-known supervised and unsupervised weighting schemes for such tasks. More importantly, we devise a genetic program that learns new ways of representing images and videos under the bag of visual words representation. The proposed method learns to combine term-weighting primitives trying to maximize the classification performance. Experimental results are reported in standard image and video data sets showing the effectiveness of the proposed evolutionary algorithm.
UR  - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7256526
N1  - HuPBA;MV
ID  - Hugo Jair Escalante2015
ER  -