Logo detection based on spatial-spectral saliency and partial spatial context

Authors:
Ke Gao;Shouxun Lin;Yongdong Zhang;Sheng Tang;Dongming Zhang
Affiliations:
Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Beijing, China;Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

Citing 8
Cited 4

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Google: A Text Retrieval Approach to Object Matching in Videos

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Contrast-based image attention analysis by using fuzzy growing

MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Trademark matching and retrieval in sports video databases

Proceedings of the international workshop on Workshop on multimedia information retrieval
LogoSeeker: a system for detecting and matching logos in natural images

Proceedings of the 15th international conference on Multimedia
Groups of Adjacent Contour Segments for Object Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
SURF: speeded up robust features

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

Affine Stable Characteristic based sample expansion for object detection

Proceedings of the ACM International Conference on Image and Video Retrieval
In-video product annotation with web information mining

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Spatial HOG based TV logo detection

Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Visualizing brand associations from web community photos

Proceedings of the 7th ACM international conference on Web search and data mining

Quantified Score

Hi-index	0.00

Visualization

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 spatial-spectral 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.