Guiding a Bottom-Up Visual Attention Mechanism to Locate Specific Image Regions Using a Distributed Genetic Optimization

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Pereira:2006:CIARP,

• author = "Eanes T. Pereira and Herman M. Gomes",
• title = "Guiding a Bottom-Up Visual Attention Mechanism to Locate Specific Image Regions Using a Distributed Genetic Optimization",
• booktitle = "11th Iberoamerican Congress in Pattern Recognition, CIARP 2006",
• year = "2006",
• editor = "Jose Francisco Martinez-Trinidad and Jesus Ariel {Carrasco Ochoa} and Josef Kittler",
• volume = "4225",
• series = "LNCS",
• pages = "257--266",
• address = "Cancun, Mexico",
• month = nov # " 14-17",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-540-46557-7",
• annote = "The Pennsylvania State University CiteSeerX Archives",
• bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
• language = "en",
• oai = "oai:CiteSeerX.psu:10.1.1.584.8447",
• rights = "Metadata may be used without restrictions as long as the oai identifier remains attached to it.",
• URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.584.8447",
• broken = "http://www.dsc.ufcg.edu.br/~wdcopin/VWDCOPIN/artigos/eanes/eanes.pdf",
• DOI = "doi:10.1007/11892755_26",
• size = "10 pages",
• abstract = "The purpose of this paper is to present an approach to locate specific regions in images. The novelty of the approach is the combination of a weighted bottom-up visual attention mechanism with a genetic algorithm optimisation running on a computational grid. The visual attention mechanism is based on the model proposed by Itti and Koch [1]. A saliency map indicates the most interesting points in an image using a number of intermediate low level features, which are detected at different scales and orientations. Using the saliency map weights as parameters, the optimisation problem is to minimise the number of most salient points needed to locate a set of reference image regions, previously (and manually) labelled as being interesting. Both an objective and subjective evaluation have demonstrated that the proposed approach is more effective when compared to a fixed weight attention mechanism.",

}

Genetic Programming entries for Eanes T Pereira Herman M Gomes

Citations