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» Boosting Image Retrieval
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ICASSP
2011
IEEE
14 years 4 months ago
Rapid image retrieval for mobile location recognition
Recognizing the location and orientation of a mobile device from captured images is a promising application of image retrieval algorithms. Matching the query images to an existing...
Georg Schroth, Anas Al-Nuaimi, Robert Huitl, Flori...
115
Voted
SIVP
2010
109views more  SIVP 2010»
14 years 7 months ago
System profiles in content-based image indexing and retrieval
In this paper, a novel study on system profiles and adaptation of parameters for end-users of content-based indexingandretrieval(CBIR)applicationsarepresented.The main objective of...
Esin Guldogan, Moncef Gabbouj
ISM
2008
IEEE
108views Multimedia» more  ISM 2008»
15 years 7 months ago
Optimization of Content-Based Image Retrieval Functions
Feature extraction and similarity measurement are two important operations in content-based image retrieval systems. We optimize and vectorize typical feature extraction algorithm...
Asadollah Shahbahrami, Ben H. H. Juurlink
123
Voted
ICTAI
2007
IEEE
15 years 7 months ago
Facial Image Retrieval through Compound Queries Using Constrained Independent Component Analysis
In this work we present a new technique of facial-image retrieval using constrained independent component analysis (cICA). We have employed cICA for the online extraction of those...
Bilal Ahmed, Tahir Rasheed, Young-Koo Lee, Sungyou...
120
Voted
ICARCV
2006
IEEE
232views Robotics» more  ICARCV 2006»
15 years 6 months ago
Analysis of Relevance Feedback in Content Based Image Retrieval
: Relevance feedback in Content Based Image Retrieval(CBIR) has been an active field of research for quite some time now. Many schemes and techniques of relevance feedback exist w...
P. Suman Karthik, C. V. Jawahar