Saliency improvement through genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @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