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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Natarajan, P. Yue Wu Saleem, S. Macrostie, E. Bernardin, F. Prasad, R. Natarajan, P. |
| Copyright Year | 2011 |
| Description | Author affiliation: Speech, Language, and Multimedia Business Unit, Raytheon BBN Technologies, Cambridge, MA 02138, USA (Natarajan, P.; Yue Wu; Saleem, S.; Macrostie, E.; Bernardin, F.; Prasad, R.; Natarajan, P.) |
| Abstract | Robust, real-time, multi-class logo detection in high resolution broadcast videos presents several difficult challenges. For most logos we only have a few training samples, which makes training robust classifiers hard. Also, logos could potentially occur anywhere in the image, and traditional sliding window approaches for logo/object detection are computationally intensive. We present a system that addresses these issues by first identifying a small set of possible logo locations in a frame, based on temporal continuity and multi-resolution search, and then successively pruning these locations for each logo template, using a cascade of color and edge based features. We present experimental results that demonstrate our system for detecting a total of 270 different logo classes in broadcast video from 5 different languages (English, Indonesian, Malay, Simplified and Traditional Chinese). |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 8740492 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781612843483 |
| ISSN | 19457871 |
| e-ISBN | 9781612843506 |
| e-ISBN | 9781612843490 |
| DOI | 10.1109/ICME.2011.6012121 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-11 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Videos Correlation Image color analysis Training Real time systems Robustness Image edge detection broadcast video logo recognition real time scalability template matching |
| Content Type | Text |
| Resource Type | Article |
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