DocumentCode
3149005
Title
Spatial connected component pre-locating algorithm for rapid logo detection
Author
Zhang, Yuan ; Zhang, Shuwu ; Liang, Wei ; Wang, Hai
Author_Institution
Hi-tech Innovation Center, Inst. of Autom., Beijing, China
fYear
2012
fDate
25-30 March 2012
Firstpage
1297
Lastpage
1300
Abstract
This paper introduces a novel pre-locating algorithm for rapid logo detection in unconstrained color images. This work is distinguished by two major contributions. The first is a new method of representation for logo called “spatial connected component descriptor” (SCCD) containing connected component (CC) prediction model and effective-CC pixel distribution histogram. The former represents combinations between CCs based on color and spatial relationships of CCs. While the latter describes the pixel distribution information of effective CCs. The two parts capture the layout of logos from different points. The second is a logo pre-locating algorithm by the means of SCCD to search for logo prediction regions in test images, on which some content-based features are used for logo matching. Experimental results illustrate that our pre-locating algorithm speeds up logo detection to a great extent and shows precise location compared to previous systems.
Keywords
image colour analysis; image matching; object detection; object recognition; CC prediction model; SCCD; connected component prediction model; content-based features; effective-CC pixel distribution histogram; logo matching; logo prelocating algorithm; object recognition; pixel distribution information; rapid logo detection; spatial connected component descriptor; spatial connected component prelocating algorithm; test images; unconstrained color images; Colored noise; Databases; Histograms; Image color analysis; Image edge detection; Image segmentation; Prediction algorithms; content-based features; logo detection; object detection and recognition; spatial connected component descriptor;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6288127
Filename
6288127
Link To Document