DocumentCode :
1797061
Title :
Integration of Points of Interest and Regions of Interest
Author :
Qi Li ; Yongyi Gong ; Yixuan Lu
Author_Institution :
Dept. of Comput. Sci., Western Kentucky Univ., Bowling Green, KY, USA
fYear :
2014
fDate :
9-13 July 2014
Firstpage :
369
Lastpage :
373
Abstract :
Images consist of different low-level features, such as Points of Interest (POIs) and Regions of Interest (ROIs). A distinction between POIs and ROIs is that the latter ones have intrinsic scale information while the former ones may not have. In this paper, we propose a scheme to integrate these two kinds of image features. The proposed scheme optimizes feature distribution so that the optimized features become more compact. The scheme also assigns scale information to a POI via a stable association between the POI and a certain “nearest” ROI. We test the proposed integration scheme in terms of the repeatability across various imaging transformations. The experimental results demonstrate the effectiveness of the integration scheme.
Keywords :
feature extraction; optimisation; POI; ROI; feature distribution optimization; image feature integration; imaging transformation; point of interest; region of interest; repeatability; scale information assignment; Computer vision; Context; Detectors; Educational institutions; Feature extraction; Lighting; Optimization; Points of Interest (POIs); Regions of Interest (ROIs); repeatability; scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
Type :
conf
DOI :
10.1109/ChinaSIP.2014.6889266
Filename :
6889266
Link To Document :
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