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» Complex Wavelet Features for Fast Texture Image Retrieval
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ICIP
2000
IEEE
14 years 9 months ago
Fast Retrieval Methods for Images with Significant Variations
Fast image retrieval is the key to success for operations on large image databases, and a great many techniques have been developed for efficient retrieval. However, most of these...
Paul W. Fieguth, Riyin Wan
MIS
2001
Springer
151views Multimedia» more  MIS 2001»
13 years 11 months ago
A Data Model for Querying Wavelet Features in Image Databases
Multimedia databases deal with storage and retrieval of complex descriptors of image contents, called features. Traditional techniques consider features as “black boxes,” ofte...
Simone Santini, Amarnath Gupta
SCALESPACE
2007
Springer
14 years 1 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
SRDS
1998
IEEE
13 years 11 months ago
Interactive Image Retrieval over the Internet
In the paper, an e cient image database system is developed. The most important features of the proposed system include compressed domain indexing, searching by using scalable fea...
Jozsef Vass, Jia Yao, Anupam Joshi, Kannappan Pala...
CORR
2008
Springer
170views Education» more  CORR 2008»
13 years 7 months ago
Fast Wavelet-Based Visual Classification
We investigate a biologically motivated approach to fast visual classification, directly inspired by the recent work [13]. Specifically, trading-off biological accuracy for comput...
Guoshen Yu, Jean-Jacques E. Slotine