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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ke Gao Shouxun Lin Yongdong Zhang Sheng Tang Dongming Zhang |
| Copyright Year | 2009 |
| Description | Author affiliation: Laboratory of Advanced Computing Research, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 100080 (Ke Gao; Shouxun Lin; Yongdong Zhang; Sheng Tang; Dongming Zhang) |
| 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. |
| Starting Page | 322 |
| Ending Page | 329 |
| File Size | 1139852 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424442904 |
| ISSN | 19457871 |
| DOI | 10.1109/ICME.2009.5202500 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Object detection Image storage Laboratories Computers Advertising Surveillance Matched filters Videos Image retrieval Content based retrieval partial spatial context Logo detection spatial-spectral saliency |
| Content Type | Text |
| Resource Type | Article |
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