| Title: | Video high-level semantic recognizing |
| Authors: | Zeng, Cheng Liu, Xiaozhu Li, Jun Dan, Feng |
| Citation: | WSCG ’2008: Poster Proceedings: The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, February 4-7, 2008, p. 21-24. |
| Issue Date: | 2008 |
| Publisher: | Václav Skala - UNION Agency |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://wscg.zcu.cz/wscg2008/Papers_2008/poster/!_WSCG2008_Poster_final.zip http://hdl.handle.net/11025/802 |
| ISBN: | 978-80-86943-17-6 |
| Keywords: | Markovův řetězec;sémantické šablony;objektová sémantika |
| Keywords in different language: | Markov chain;semantic template;object semantic |
| Abstract: | This paper presents an event semantic recognizing method based on Markov chain by stages, which takes object semantic as the bridge and is valid for recognizing complex event semantic. Semantic concept mapping mechanism based on semantic template is used to realize the automatic recognition of video semantic. In the experiment contrasting with IMAT system, our method shows more extensive recognition range and higher accuracy. Experimental results are encouraging, and indicate that the performance of the proposed approach is effective. |
| Rights: | © Václav Skala - UNION Agency |
| Appears in Collections: | WSCG ’2008: Poster Proceedings |
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