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Proceedings Paper

Real-time billboard trademark detection and recognition in sports video
Author(s): Jiang Bu; Song-Yan Lao; Liang Bai
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Paper Abstract

Nowadays, different applications like automatic video indexing, keyword based video search and TV commercials can be developed by detecting and recognizing the billboard trademark. We propose a hierarchical solution for real-time billboard trademark recognition in various sports video, billboard frames are detected in the first level, fuzzy decision tree with easily-computing features are employed to accelerate the process, while in the second level, color and regional SIFT features are combined for the first time to describe the appearance of trademarks, and the shared nearest neighbor (SNN) clustering with x2 distance is utilized instead of traditional K-means clustering to construct the SIFT vocabulary, at last, Latent Semantic Analysis (LSA) based SIFT vocabulary matching is performed on the template trademark and the candidate regions in billboard frame. The preliminary experiments demonstrate the effectiveness of the hierarchical solution, and real time constraints are also met by our solution.

Paper Details

Date Published: 13 March 2013
PDF: 8 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831M (13 March 2013); doi: 10.1117/12.2021184
Show Author Affiliations
Jiang Bu, National Univ. of Defense Technology (China)
Song-Yan Lao, Sabrina Tollari, CNRS (France)
Liang Bai, Univ. Pierre et Marie Curie (France)

Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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