Escola Tècnica Superior de Telecomunicació de Barcelona
Abstract
This project presents the design and implementation of a Content-Based Image Retrieval
(CBIR) system where queries are formulated by visual examples through a
graphical interface. Visual descriptors and similarity measures implemented in this
work followed mainly those defined in the MPEG-7 standard although, when necessary,
extensions are proposed. Despite the fact that this is an image-based system, all
the proposed descriptors have been implemented for both image and region queries,
allowing the future system upgrade to support region-based queries. This way, even a
contour shape descriptor has been developed, which has no sense for the whole image.
The system has been assessed on different benchmark databases; namely, MPEG-7
Common Color Dataset, and Corel Dataset. The evaluation has been performed for
isolated descriptors as well as for combinations of them. The strategy studied in this
work to gather the information obtained from the whole set of computed descriptors
is weighting the rank list for each isolated descriptor