Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

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… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
The last decade has witnessed great interest in research on content-based image retrieval. This has paved the way for a large… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 3
Is this relevant?
Highly Cited
2004
Highly Cited
2004
We investigate the properties of a metric between two distributions, the Earth Mover's Distance (EMD), for content-based image… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2003
Highly Cited
2003
We introduce in this chapter some fundamental theories for content-based image retrieval. Section 1.1 looks at the development of… Expand
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Content-based image retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature… Expand
  • table I
  • table II
  • table IV
  • table V
  • table VI
Is this relevant?
Highly Cited
1998
Highly Cited
1998
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 7
Is this relevant?
Highly Cited
1997
Highly Cited
1997
Technology advances in the areas of image processing (IP) and information retrieval (IR) have evolved separately for a long time… Expand
  • table 1
  • figure 1
Is this relevant?
Highly Cited
1996
Highly Cited
1996
  • G. Pass, R. Zabih
  • Proceedings Third IEEE Workshop on Applications…
  • 1996
  • Corpus ID: 138993
Color histograms are widely used for content-based image retrieval. Their advantages are efficiency, and insensitivity to small… Expand
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
1995
Highly Cited
1995
Research on ways to extend and improve query methods for image databases is widespread. We have developed the QBIC (Query by… Expand
  • figure 1
  • figure 3
  • figure 4
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
1992
Highly Cited
1992
  • T. Kato
  • Electronic Imaging
  • 1992
  • Corpus ID: 14342247
This paper describes visual interaction mechanisms for image database systems. The typical mechanisms for visual interactions are… Expand
Is this relevant?