Difference between revisions of "Discovering Images for Wikipedia Articles"
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| − | '''Discovering Images for Wikipedia Articles''' - scientific work related to Wikipedia quality published in 2011, written by Li Xiaoming and Hp Labs. | + | '''Discovering Images for Wikipedia Articles''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Li Xiaoming]] and [[Hp Labs]]. |
== Overview == | == Overview == | ||
| − | Wikipedia provides plenty of human-edited articles for popular concepts in most domains.One Wikipedia article with high-diversity images is more valuable than that with no image.This paper proposes the problem of image discovery for Wikipedia articles with high precision,high recall and high diversity,and a general framework WIMAGE to address this problem.WIMAGE includes an approach to generate queries for different paragraphs of each Wikipedia article,and two ever-increasing methods to rank the images retrieved.This paper evaluates the effectiveness of WIMAGE using 40 Wikipedia articles from 4 popular Wikipedia categories.Experimental results show that WIMAGE is effective in discovering images for Wikipedia articles with high precision,high recall and high diversity,and the ranking method taking into account both the visual similarity and text similarity performs better. | + | Wikipedia provides plenty of human-edited articles for popular concepts in most domains.One [[Wikipedia]] article with high-diversity images is more valuable than that with no image.This paper proposes the problem of image discovery for Wikipedia articles with high precision,high recall and high diversity,and a general framework WIMAGE to address this problem.WIMAGE includes an approach to generate queries for different paragraphs of each Wikipedia article,and two ever-increasing methods to rank the images retrieved.This paper evaluates the effectiveness of WIMAGE using 40 Wikipedia articles from 4 popular [[Wikipedia categories]].Experimental results show that WIMAGE is effective in discovering images for Wikipedia articles with high precision,high recall and high diversity,and the ranking method taking into account both the visual similarity and text similarity performs better. |
Revision as of 09:48, 11 August 2019
Discovering Images for Wikipedia Articles - scientific work related to Wikipedia quality published in 2011, written by Li Xiaoming and Hp Labs.
Overview
Wikipedia provides plenty of human-edited articles for popular concepts in most domains.One Wikipedia article with high-diversity images is more valuable than that with no image.This paper proposes the problem of image discovery for Wikipedia articles with high precision,high recall and high diversity,and a general framework WIMAGE to address this problem.WIMAGE includes an approach to generate queries for different paragraphs of each Wikipedia article,and two ever-increasing methods to rank the images retrieved.This paper evaluates the effectiveness of WIMAGE using 40 Wikipedia articles from 4 popular Wikipedia categories.Experimental results show that WIMAGE is effective in discovering images for Wikipedia articles with high precision,high recall and high diversity,and the ranking method taking into account both the visual similarity and text similarity performs better.
