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With the explosive growth of Multimedia Applications, the ability
to index/retrieve multimedia objects in an efficient way is
challenging to both researchers and practitioners. A major data
type stored and managed by these applications is the representation
of two dimensional (2D) objects. Objects contain many features
(e.g., color, texture, and shape) that have meaningful semantics.
From those features, shape is an important feature that conforms
with the way human beings interpret and interact with the real
world objects. The shape representation of objects can therefore be
used for their indexing, retrieval and as similarity measure. The
object databases can be queried and searched for different
purposes. For example, a CAD application for manufacturing
industrial parts might intend to reduce the cost of building new
industrial parts by searching for reusable existing parts in a
database. Regarding an alternative trademark registry application,
one might need to ensure that a new registered trademark is
sufficiently distinctive from the existing marks by searching the
database. Therefore, one of the important functionalities required
by all these applications is the capability to find objects in a
database that match a given object.
Shape Analysis and Retrieval of Multimedia Objects provides a comprehensive survey of the most advanced and powerful shape retrieval techniques used in practice today. In addition, this monograph addresses key methodological issues for evaluation of the shape retrieval methods. Shape Analysis and Retrieval of Multimedia Objects is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer Science.
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