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Image retrieval

Known as: Image search, Retrieval 
–An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
In this paper, we present a new hashing method to learn compact binary codes for highly efficient image retrieval on large-scale… 
Review
2015
Review
2015
This seminar report focuses on using convolutional neural networks for image retrieval. Firstly, we give a thorough discussion of… 
Highly Cited
2015
Highly Cited
2015
This paper develops a novel framework for semantic image retrieval based on the notion of a scene graph. Our scene graphs… 
Highly Cited
2014
Highly Cited
2014
Hashing is a popular approximate nearest neighbor search approach for large-scale image retrieval. Supervised hashing, which… 
Highly Cited
2010
Highly Cited
2010
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we… 
Highly Cited
2001
Highly Cited
2001
Relevance feedback is often a critical component when designing image databases. With these databases it is difficult to specify… 
Highly Cited
2000
Highly Cited
2000
We present an approach for image retrieval using a very large number of highly selective features and efficient learning of… 
Highly Cited
1997
Highly Cited
1997
This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue… 
Highly Cited
1996
Highly Cited
1996
This paper describes the automatic selection of features from an image training set using the theories of multidimensional… 
Highly Cited
1996
Highly Cited
1996
The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search…