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CVPR
2012
IEEE
11 years 11 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
ISMIS
1997
Springer
14 years 29 days ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
CAIP
2005
Springer
220views Image Analysis» more  CAIP 2005»
14 years 2 months ago
Application of Automatic Image Registration in a Segmentation Framework of Pelvic CT Images
In radiation treatment (RT) planning, clinicians must trace the outline of a few critical structures on a large number of images. Using automated image segmentation could save trem...
Attila Tanács, Eörs Máté...
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 2 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
ICIP
2006
IEEE
14 years 10 months ago
Measuring Intra- and Inter-Observer Agreement in Identifying and Localizing Structures in Medical Images
Inter- and intra-observer variability exists in any measurements made on medical images. There are two sources of variability. The first occurs when the observers identify and loc...
Mehul P. Sampat, Zhou Wang, Mia K. Markey, Gary J....