Architecture of a Networked Image Search and Retrieval System
||Architecture of a Networked Image Search and Retrieval System
||R. Weber, H.-J. Schek, J. Bollinger, T. Gross
||In Eighth International Conference on Information and Knowledge Management, Kansas City, Missouri, USA
||Institute for Information Systems, ETH Zurich
Large scale networked image retrieval systems face a number of
problems that are not fully satisfied by current systems. On one
hand, integrated solutions that store all image data centrally are
often limited in terms of scalability and autonomy of data providers.
On the other hand, WWW-based search engines proved to be fairly
scalable, and data providers retain their autonomy. However, such
engines often confront users with links to servers that are not
available or to images that no longer exist, i.e., they are unable to
keep their meta-database consistent with the repositories' contents.
Furthermore, existing solutions often neglect the cost of image
delivery. The considerable variations in the effective bandwidth in
today's Internet lead to highly unpredictable response times, which
are often intolerable from the user's point of view. This paper
presents the architecture of Chariot, a networked image search and
retrieval system that tackles these concerns. With respect to
scalability and autonomy, Chariot follows the approach of WWW-based
search engines by maintaining only the meta-data in a central
database. Various specialized components (feature extraction,
indexes, images servers) are coordinated by a middleware component
that employs transactional process management to enforce consistency
between the meta-data and all components. Moreover, Chariot
incorporates mechanisms to provide more predictable response times
for the image delivery over the Internet by employing network-aware
image servers. These servers trade off the quality of the images to
be delivered with the bandwidth required to transmit the images.
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