Abstract
Increase in the use of digital images has shown the need for modeling and querying the semantic content, which is usually defined using the objects in the images. In this paper, a Genetic Algorithm (GA) based object classification mechanism is developed for extracting the content of images. Objects are defined by using the Best Representative and Discriminative Feature (BRDF) model, where features are MPEG-7 descriptors. The classifier improves itself in time, with the genetic operations of GA.
Original language | English |
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Pages | 519-525 |
Number of pages | 7 |
DOIs | |
State | Published - 2012 |
Externally published | Yes |
Event | 26th Annual International Symposium on Computer and Information Science, ISCIS 2011 - London, United Kingdom Duration: Sep 26 2011 → Sep 28 2011 |
Conference
Conference | 26th Annual International Symposium on Computer and Information Science, ISCIS 2011 |
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Country/Territory | United Kingdom |
City | London |
Period | 09/26/11 → 09/28/11 |