Title :
Logo detection based on spatial-spectral saliency and partial spatial context
Author :
Gao, Ke ; Lin, Shouxun ; Zhang, Yongdong ; Tang, Sheng ; Zhang, Dongming
Author_Institution :
Lab. of Adv. Comput. Res., Chinese Acad. of Sci., Beijing, China
fDate :
June 28 2009-July 3 2009
Abstract :
Logo detection is important for brand advertising and surveillance applications. The central issues of this technology are fast localization and accurate matching. Based on key traits analysis of common logos, this paper presents a two-stage detection scheme based on spatialspectral saliency (SSS) and partial spatial context (PSC). SSS speeds up logo location and avoid the impact of cluttered background. PSC filters false matching using spatial consistency of local invariant points. The integration of SSS and PSC result in faster localization and increased accuracy. Experiments on a dataset of nearly 10,000 web images containing several popular logo types are presented. The results indicate that our method is applicable and precise for different logo detection scenarios.
Keywords :
image matching; object detection; brand advertising; cluttered background; false matching; local invariant points; logo detection; logo location; partial spatial context; spatial-spectral saliency; surveillance; two-stage detection scheme; Advertising; Computers; Content based retrieval; Image retrieval; Image storage; Laboratories; Matched filters; Object detection; Surveillance; Videos; Logo detection; partial spatial context; spatial-spectral saliency;
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
DOI :
10.1109/ICME.2009.5202500
