The search of images on the internet has become a natural process for the
internet surfer. Most of the search engines use complex algorithms to look up
for images but their metadata is mostly ignored, in part because many image
hosting sites remove metadata when the image is uploaded. The JPSearch
standard has been developed to handle interoperability in metadata based
searches, but it seems that the market is not interested on supporting it.
The starting point of this project is a broker based federated search for
image retrieval which was supposed to be the backbone of the nal software.
However, due to out of date state of the previous project a new software has
been developed. The objective of this approach is to support scalability on
an image search system based on querying to the API of well known image
hosting services and providing a tool to analyse images metadata for low level
searches. A design is proposed to dodge the API rate limitations, the actual
major problem regarding scalability, and a working software is developed to
prove its viability. A set of tests are introduced to evaluate the performance
of the approach and its results are interpreted. Finally a future work is
suggested in order to improve the weaknesses.
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