Skip to search formSkip to main contentSkip to account menu

Content-based image retrieval

Known as: CBVIR, Similar image search, Content Based Image Retrieval System 
Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
- The paper presents a review of different techniques in content-based image retrieval. The paper starts with discussing the… 
Review
2012
Review
2012
This paper gives an overview idea of retrieving images from a large database. CBIR is used for automatic indexing and retrieval… 
2012
2012
Content based image retrieval has found its application in many areas like government, academia and hospitals. A new image… 
2010
2010
The purpose of this report is to describe research and solution to the problem of designing a Content Based Image Retrieval, CBIR… 
2007
2007
Content based image retrieval (CBIR) methods are proposed as alternative or complementary solutions to keyword-based picture… 
2007
2007
The comparison of digital images to determine their degree of similarity is one of the fundamental problems of computer vision… 
Highly Cited
2006
Highly Cited
2006
Content-based image retrieval (CBIR) is an important research area for manipulating large amount of image databases and archives… 
2006
2006
Color features are important to pictures and they are easy to calculate. Therefore, the features are widely used in content-based… 
Review
2006
Review
2006
  • R. Choras
  • 2006
  • Corpus ID: 59221964
Current technology allows the acquisition, transmission, storing, and manipulation of large collections of images. Images are… 
1997
1997
The Bayesian relevance feedback approach introduced with the PicHunter system (Cox, Miller, Omohundro and Yianilos, Int. Conf. on…