Local Grayvalue Invariants for Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-based retrieval from trademark databases
Pattern Recognition Letters
Content-based trademark retrieval system using visually salient features
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Layout indexing of trademark images
Proceedings of the 6th ACM international conference on Image and video retrieval
Shape feature matching for trademark image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Brand identification using Gaussian derivative histograms
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
SIFT-Bag kernel for video event analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
A system for automatic detection and recognition of advertising trademarks in sports videos
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Logo detection based on spatial-spectral saliency and partial spatial context
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Multimedia Tools and Applications
Efficient logo retrieval through hashing shape context descriptors
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Scalable triangulation-based logo recognition
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Scalable logo recognition in real-world images
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Correlation-based burstiness for logo retrieval
Proceedings of the 20th ACM international conference on Multimedia
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In this paper we describe a system for detection and retrieval of trademarks appearing in sports videos. We propose a compact representation of trademarks and video frame content based on SIFT feature points. This representation can be used to robustly detect, localize, and retrieve trademarks as they appear in a variety of different sports video types. Classification of trademarks is performed by matching a set of SIFT feature descriptors for each trademark instance against the set of SIFT features detected in each frame of the video. Localization is performed through robust clustering of matched feature points in the video frame. Experimental results are provided, along with an analysis of the precision and recall. Results show that the our proposed technique is efficient and effectively detects and classifies trademarks.