- author = "C. D. Ferreira and J. A. Santos and R. {da S. Torres} and M. A. Goncalves and R. C. Rezende and Weiguo Fan",
- title = "Relevance feedback based on genetic programming for image retrieval",
- journal = "Pattern Recognition Letters",
- volume = "32",
- number = "1",
- pages = "27--37",
- year = "2011",
- note = "Image Processing, Computer Vision and Pattern Recognition in Latin America",
- ISSN = "0167-8655",
-
DOI = "
doi:10.1016/j.patrec.2010.05.015",
-
URL = "
http://www.sciencedirect.com/science/article/B6V15-504123K-4/2/d925135e9c62c6da92ea517f2451d3bf",
- keywords = "genetic algorithms, genetic programming, Relevance feedback, Content-based image retrieval",
-
abstract = "This paper presents two content-based image retrieval
frameworks with relevance feedback based on genetic
programming. The first framework exploits only the user
indication of relevant images. The second one considers
not only the relevant but also the images indicated as
non-relevant.
Several experiments were conducted to validate the proposed frameworks. These experiments employed three different image databases and colour, shape, and texture descriptors to represent the content of database images. The proposed frameworks were compared, and outperformed six other relevance feedback methods regarding their effectiveness and efficiency in image retrieval tasks.",
