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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liu Yun Huang Chao Liu Xueying |
| Copyright Year | 2010 |
| Abstract | Basketball court detection is the key step of video annotation, however the court present different color when using different camera or in different play court. In this paper the adaptive Gaussian Mixture Model (GMM) is used to build the model of the basketball court, which is used in the basketball video annotation. The proposed algorithm extracts the main color of the court’s main color using the GMM and IEM. Under these conditions the basketball video is annotated into in-play and close-up. Experimental results show that the proposed algorithms are effective. |
| Starting Page | 368 |
| Ending Page | 371 |
| File Size | 191646 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424486274 |
| DOI | 10.1109/ISIP.2010.67 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | IEM Image color analysis Adaptation model Semantics Games basketball video annotation Streaming media AGMM court detection Mathematical model Pixel |
| Content Type | Text |
| Resource Type | Article |
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