| Authors |
|
| Publication date |
2009
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| Journal |
IEEE Transactions on Multimedia
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| Volume | Issue number |
11 | 4
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| Pages (from-to) |
780-785
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| Organisations |
-
Faculty of Science (FNWI) - Informatics Institute (IVI)
|
| Abstract |
Whereas video tells a narrative by a composition of shots, current video retrieval methods focus mainly on single shots. In retrieval performance estimation, similar shots in a narrative may result in performance overestimation. We propose an episode-based version of cross-validation leading up to 14% classification improvement over shot-based cross-validation
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| Document type |
Article
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| Note |
vanGemertITM2009
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| Published at |
https://doi.org/10.1109/TMM.2009.2017619
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