Content-based image retrieval with relevance feedback using random walks

Author:

Rota Bulò Samuel,Rabbi Massimo,Pelillo Marcello

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference25 articles.

1. J.J. Rocchio, Document retrieval systems — optimization and evaluation, Ph.D. Thesis, Harvard Computational Laboratory, Harvard University, Cambridge, 1966.

2. Relevance feedback for image retrieval: a comprehensive review;Zhou;Multimedia Syst.,2003

3. Relevance feedback: a power tool for interactive content-based image retrieval;Rui;IEEE Trans. Circuits Syst. Video Technol.,1998

4. Query feedback for interactive image retrieval;Kushki;IEEE Trans. Circuits Syst. Video Technol.,2004

5. Long-term similarity learning in content-based image retrieval;Fournier,2002

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