Difference between revisions of "Semantic Retrieval of Images by Learning from Wikipedia"
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| − | '''Semantic Retrieval of Images by Learning from Wikipedia''' - scientific work related to Wikipedia quality published in 2011, written by Martin Klinkigt, Koichi Kise, Heiko Maus and Andreas Dengel. | + | '''Semantic Retrieval of Images by Learning from Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Martin Klinkigt]], [[Koichi Kise]], [[Heiko Maus]] and [[Andreas Dengel]]. |
== Overview == | == Overview == | ||
| − | In this paper authors develop a prototype of an image management system supporting the user organizing his images with the help of semantic annotations. The system automatically contributes such annotations to close the gap between images and concepts expressing their content. Authors propose a novel integration into a Semantic Desktop and the usage of Wikipedia to address the common problem of initial knowledge acquisition and improvement of the performance. With an evaluation on a challenging dataset out system outperforms a purely image processing based approach by 30%. | + | In this paper authors develop a prototype of an image management system supporting the user organizing his images with the help of semantic annotations. The system automatically contributes such annotations to close the gap between images and concepts expressing their content. Authors propose a novel integration into a Semantic Desktop and the usage of [[Wikipedia]] to address the common problem of initial knowledge acquisition and improvement of the performance. With an evaluation on a challenging dataset out system outperforms a purely image processing based approach by 30%. |
Revision as of 10:31, 9 July 2019
Semantic Retrieval of Images by Learning from Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Martin Klinkigt, Koichi Kise, Heiko Maus and Andreas Dengel.
Overview
In this paper authors develop a prototype of an image management system supporting the user organizing his images with the help of semantic annotations. The system automatically contributes such annotations to close the gap between images and concepts expressing their content. Authors propose a novel integration into a Semantic Desktop and the usage of Wikipedia to address the common problem of initial knowledge acquisition and improvement of the performance. With an evaluation on a challenging dataset out system outperforms a purely image processing based approach by 30%.
