Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features
We propose a novel method to re-order the list of images returned by an image retrieval system (IRS). The method combines the original order obtained by the IRS, the similarity between images obtained with visual and textual features, and a relevance feedback approach, all of them with the purpose o...
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| Veröffentlicht in: | Computación y Sistemas |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Instituto Politécnico Nacional
2011
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| Schlagworte: | |
| Online-Zugang: | https://www.redalyc.org/articulo.oa?id=61520767006 |
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