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» Color Features Performance Comparison for Image Retrieval
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ICIP
2009
IEEE
14 years 10 months ago
Boosting Object Retrieval By Estimating Pseudo-objects
State-of-the-art object retrieval systems are mostly based on the bag-of-visual-words representation which encodes local appearance information of an image in a feature vector. A ...
IMAGING
2000
13 years 10 months ago
Sharpness Rules
A large-scale psychophysical experiment was performed examining the effects of various simultaneous variations of image parameters on perceived image sharpness. The goal of this e...
Garrett M. Johnson, Mark D. Fairchild
ICIP
2001
IEEE
14 years 10 months ago
Indoor vs outdoor classification of consumer photographs using low-level and semantic features
Scene categorization to indoor vs outdoor may be approached by using low-level features for inferring high-level information about the image. Low-level features such as color and ...
Jiebo Luo, Andreas E. Savakis
MM
2009
ACM
118views Multimedia» more  MM 2009»
14 years 3 months ago
Vocabulary-based hashing for image search
This paper proposes a hash function family based on feature vocabularies and investigates the application in building indexes for image search. Each hash function is associated wi...
Yingyu Liang, Jianmin Li, Bo Zhang
ICPR
2004
IEEE
14 years 10 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja