Skip to search formSkip to main contentSkip to account menu

VisualRank

VisualRank is a system for finding and ranking images by analysing and comparing their content, rather than searching image names, Web links or other… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
  • Ai WeiXinmei Tian
  • 2017
  • Corpus ID: 42651471
Image search re-ranking is a post process for image retrieval to further improve the accuracy by investigating image's visual… 
Review
2016
Review
2016
The Image reranking is effective for improving the web image search. The search engines are mostly based on text and constrained… 
2015
2015
Image re-ranking is an effective way to improve the image search result, has been used by many search engines such as MSN,Bing… 
2014
2014
Most existing tag-based social image search engines present search results as a ranked list of images, which cannot be consumed… 
2014
2014
In this paper, we propose a novel ranking method called VisualTextualRank which ranks media data according to the relevance… 
2013
2013
Many research have been focusing on how to match the textual query with visual images and their surrounding texts or tags for Web… 
2013
2013
In this paper, we describe our method and results for the MediaEval 2013 Retrieving Diverse Social Images Task. To accomplish the… 
2012
2012
In this paper, we apply Web images to the problem of automatically extracting video shots corresponding to specific actions from… 
2010
2010
We have become able to get enough approvable images of a target object just by submitting its object-name to a conventional… 
2009
2009
Previous web image re-ranking approaches usually construct similarity measure on image level. Considering the diversity of large…