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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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Related topics
Related topics
21 relations
Automatic image annotation
Color layout descriptor
Color moments
Computer vision
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Deep Supervised Hashing for Fast Image Retrieval
Haomiao Liu
,
Ruiping Wang
,
S. Shan
,
Xilin Chen
International Journal of Computer Vision
2016
Corpus ID: 15281206
In this paper, we present a new hashing method to learn compact binary codes for highly efficient image retrieval on large-scale…
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Review
2015
Review
2015
Neural Codes for Image Retrieval
David Stutz
2015
Corpus ID: 2836489
This seminar report focuses on using convolutional neural networks for image retrieval. Firstly, we give a thorough discussion of…
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Highly Cited
2015
Highly Cited
2015
Image retrieval using scene graphs
Justin Johnson
,
Ranjay Krishna
,
+4 authors
Li Fei-Fei
Computer Vision and Pattern Recognition
2015
Corpus ID: 16414666
This paper develops a novel framework for semantic image retrieval based on the notion of a scene graph. Our scene graphs…
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Highly Cited
2014
Highly Cited
2014
Supervised Hashing for Image Retrieval via Image Representation Learning
Rongkai Xia
,
Yan Pan
,
Hanjiang Lai
,
Cong Liu
,
Shuicheng Yan
AAAI Conference on Artificial Intelligence
2014
Corpus ID: 15783377
Hashing is a popular approximate nearest neighbor search approach for large-scale image retrieval. Supervised hashing, which…
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Highly Cited
2010
Highly Cited
2010
Large-scale image retrieval with compressed Fisher vectors
Florent Perronnin
,
Yan Liu
,
Jorge Sánchez
,
H. Poirier
IEEE Computer Society Conference on Computer…
2010
Corpus ID: 16161770
The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we…
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Highly Cited
2001
Highly Cited
2001
Support vector machine active learning for image retrieval
Simon Tong
,
E. Chang
MULTIMEDIA '01
2001
Corpus ID: 10743717
Relevance feedback is often a critical component when designing image databases. With these databases it is difficult to specify…
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Highly Cited
2000
Highly Cited
2000
Boosting Image Retrieval
Kinh H. Tieu
,
Paul A. Viola
Proceedings IEEE Conference on Computer Vision…
2000
Corpus ID: 510936
We present an approach for image retrieval using a very large number of highly selective features and efficient learning of…
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Highly Cited
1997
Highly Cited
1997
Local Grayvalue Invariants for Image Retrieval
C. Schmid
,
R. Mohr
IEEE Transactions on Pattern Analysis and Machine…
1997
Corpus ID: 325871
This paper addresses the problem of retrieving images from large image databases. The method is based on local grayvalue…
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Highly Cited
1996
Highly Cited
1996
Using Discriminant Eigenfeatures for Image Retrieval
D. Swets
,
J. Weng
IEEE Transactions on Pattern Analysis and Machine…
1996
Corpus ID: 10952196
This paper describes the automatic selection of features from an image training set using the theories of multidimensional…
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Highly Cited
1996
Highly Cited
1996
Tools and techniques for color image retrieval
John R. Smith
,
Shih-Fu Chang
Electronic imaging
1996
Corpus ID: 1648265
The growth of digital image and video archives is increasing the need for tools that effectively filter and efficiently search…
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