Title
Image Query Service Using Content Management Techniques
Abstract
Trends in experimental sciences, such as astrophysics, have led to many critically needed, non-normalized, and massive meta-data catalogs that organize collections of recorded photographic and spectrographic observations of similar size. This paper reports on initial research that applies techniques of content management systems (CMS) to efficiently organize these observations and reference them for retrieval and processing by browsers, web services for third party access, and plug-in provisions. A model is proposed that integrates a set of design patterns that are applied to a hierarchy of well-defined objects to construct an image retriever that is flexible and expandable.
Year
DOI
Venue
2009
10.1109/ITNG.2009.107
ITNG
Keywords
Field
DocType
design pattern,similar size,experimental science,content management techniques,plug-in provision,massive meta-data catalog,image query service,content management system,paper report,initial research,party access,image retriever,image analysis,content management,information technology,web services,databases,image retrieval,web service,calibration,pipelines,probability density function,java,data mining,design patterns,data models,servers
Data modeling,Information retrieval,Computer science,Server,Software design pattern,Image retrieval,Content management,Hierarchy,Web service,Java,Database
Conference
Citations 
PageRank 
References 
3
0.53
2
Authors
2
Name
Order
Citations
PageRank
Dan Beatty130.87
N Lopez-Benitez2235.66