Research on the Classification of Image Semantic Scene

DOI

10.2991/iiicec-15.2015.39How to use a DOI?

Keywords

Regular super pixel grid block; Semantic visual vocabulary SVV; scene categorization

Abstract

This paper mainly aims at the algorithm of scene categorization. Firstly, putting forward by using the edge information of training set image to modela probabilistic generative model, and getingt the shape prior distribution of each scene category by learning, and inferencing to get the boundary distribution image,so to finish the regular super pixel grid block.Then, clustering the local word package description data of sub region, to construct the semantic visual vocabulary SVV, combining with the regularized super pixel grid to descript image; finally, finishing the task.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fan Zhang
AU  - Huiling Guo
AU  - Lingshan Jia
PY  - 2015/03
DA  - 2015/03
TI  - Research on the Classification of Image Semantic Scene
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 162
EP  - 165
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.39
DO  - 10.2991/iiicec-15.2015.39
ID  - Zhang2015/03
ER  -