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Article Dans Une Revue Studia Informatica Universalis Année : 2010

A diffusion approach for interactive image retrieval

Résumé

We study in this paper the problem of using multiple-instance semi-supervised learning to solve image Relevance feedback problem. Many multiple-instance learning algorithms have been proposed to tackle this problem; most of them only have a global representation of images. In this paper, we present a semi-supervised version of multiple instance learning. By taking into account both the multiple-instance and the semi-supervised properties simultaneously. A novel graph-based diffusion algorithm is developed, in which global and local information are used. Experimental results show promising results of the proposed method for a test database containing more than 2000 color seaweed images.
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Dates et versions

hal-00808245 , version 1 (05-04-2013)

Identifiants

  • HAL Id : hal-00808245 , version 1

Citer

Hassan Tabout, Youssef Chahir, Abderrahman Sbihi. A diffusion approach for interactive image retrieval. Studia Informatica Universalis, 2010, 8 (4), pp.111-127. ⟨hal-00808245⟩
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