Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Combining Hiearachical Clustering and Naive-Bayes Nearest-Neighbor For Image Classification

Authors
Chen Fu, Shijie Jia
Corresponding Author
Chen Fu
Available Online July 2015.
DOI
https://doi.org/10.2991/lemcs-15.2015.7How to use a DOI?
Keywords
Naïve Nearst Neighbour Classifier; Image classification; Imageto-Class distance hierarchical clustering; Category cutting
Abstract
This paper addresses the problem of image classification, which has successful applications in many fields, such as image retrieve, object detection and recognition. As a simple nonparametric methods, Naive-Bayes Nearest-Neighbor(NBNN) employs NN distances in the space of the local image descriptors and computes direct ‘Image-to-Class’ distances without descriptor quantization. However, the high compute cost is the severe bottleneck for the generation of NBNN, which is particular for large scale image classification. Under the naïve bayes assumptation (the local features are considered i.i.d.), this paper combines hierarchical clustering with Naive-Bayes nearest-neighbor for image classification, which provides high scalability to the tradeoff between accuracy and efficiency. Furthermore, this paper proposes the scheme of category cutting, which could improve the test speed at the cost of little accuracy dropping, which is particularly efficient for large scale image classification. Experiments showed that our scheme is the most efficiency among LSH, kd-tree, and linear search algorithms.
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Proceedings
International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-6252-102-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/lemcs-15.2015.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chen Fu
AU  - Shijie Jia
PY  - 2015/07
DA  - 2015/07
TI  - Combining Hiearachical Clustering and Naive-Bayes Nearest-Neighbor For Image Classification
BT  - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.7
DO  - https://doi.org/10.2991/lemcs-15.2015.7
ID  - Fu2015/07
ER  -