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181
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CVPR
2012
IEEE
13 years 6 months ago
Unsupervised feature learning framework for no-reference image quality assessment
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
Peng Ye, Jayant Kumar, Le Kang, David S. Doermann
140
Voted
FLAIRS
2008
15 years 6 months ago
Fuzzy Clustering Paradigm and the Shape-Based Image Retrieval
This paper presents a strategy for shape-based image retrieval in which moment invariants form a feature vector to describe the shape of an object. Fuzzy k-means clustering is use...
Nan Xing, Imran Shafiq Ahmad
CVPR
2007
IEEE
16 years 5 months ago
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
Matching local features across images is often useful when comparing or recognizing objects or scenes, and efficient techniques for obtaining image-to-image correspondences have b...
Kristen Grauman, Trevor Darrell
109
Voted
SIGIR
2000
ACM
15 years 8 months ago
Hill climbing algorithms for content-based retrieval of similar configurations
The retrieval of stored images matching an input configuration is an important form of content-based retrieval. Exhaustive processing (i.e., retrieval of the best solutions) of co...
Dimitris Papadias
144
Voted
ICIP
2005
IEEE
16 years 5 months ago
Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
Recent methods based on interest points and local fingerprints have been proposed to perform robust CBCD (content-based copy detection) of images and video. They include two steps...
Alexis Joly, Carl Frélicot, Olivier Buisson