An attribute-assisted reranking model for web image search

Image search reranking is an effective approach to refine the text-based image search result. Most existing reranking approaches are based on low-level visual features. In this paper, we propose to exploit semantic attributes for image search reranking. Based on the classifiers for all the predefine...

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Détails bibliographiques
Publié dans:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 1 vom: 23. Jan., Seite 261-72
Auteur principal: Cai, Junjie (Auteur)
Autres auteurs: Zha, Zheng-Jun, Wang, Meng, Zhang, Shiliang, Tian, Qi
Format: Article en ligne
Langue:English
Publié: 2015
Accès à la collection:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:Journal Article Research Support, Non-U.S. Gov't