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
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;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2012.6288127