Saliency improvement through genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Martinez-Rodriguez:2018:IWISC,

• title = "Saliency improvement through genetic programming",
• author = "Diana E. {Martinez Rodriguez} and Marco A. Contreras-Cruz and Uriel Haile {Hernandez Belmonte} and Sergey Bereg and Victor Ayala-Ramirez",
• booktitle = "Proceedings of the 3rd International Workshop on Interactive and Spatial Computing, IWISC'18",
• year = "2018",
• editor = "Prabhakaran Balakrishnan and Ryan P. McMahan",
• pages = "29--38",
• address = "Richardson, Texas, USA",
• month = apr # " 12-13",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, saliency enhancement, salient object detection, visual saliency",
• isbn13 = "978-1-4503-5439-4",
• acmid = "3191809",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/iwisc/iwisc2018.html#RodriguezCBBA18",
• URL = "http://doi.acm.org/10.1145/3191801.3191809",
• URL = "http://dl.acm.org/citation.cfm?id=3191801",
• DOI = "doi:10.1145/3191801.3191809",
• abstract = "Visual saliency detection aims at finding regions of interest which contain relevant information in images. In the last years, several saliency methods have been proposed, however, it is still a challenging task in visualization, graphics and computer vision. Visual saliency has been useful in many tasks such as object segmentation, object detection, image retrieval, place recognition, human-computer interaction, among others. In this work, we present the design of a Genetic Programming Framework to improve the saliency maps generated from a determined saliency method. As output, we obtain a sequence of operators to improve a saliency map. We have tested this approach by using three saliency methods of the state-of-the-art. The validation of the generated solutions have been tested in three visual saliency image datasets. The results of the experiments show that the solution found by Genetic Programming outperforms the original input saliency model.",
• notes = "Also known as \cite{conf/iwisc/RodriguezCBBA18}, \cite{Martinez-Rodriguez:2018:SIT:3191801.3191809}",

}

Genetic Programming entries for Diana E Martinez-Rodriguez Marco Antonio Contreras Cruz Uriel Haile Hernandez Belmonte Sergey Bereg Victor Ayala-Ramirez

Citations