The conjunction of knowledge discovery and multimedia documents presents
a very important challenge. This new field of knowledge discovery in
multimedia documents, dealing with non-structured information such as
texts, images, videos, audio and virtual data, requires the
collaboration of experts in many areas of interest revolving around
document management systems, data mining, visual computing, signal
processing, multimedia data and machine learning. Multimedia Mining: A
Highway to Intelligent Multimedia Documents will bring together
experts in digital media content analysis, state-of-art data mining and
knowledge discovery in multimedia database systems, knowledge engineers
and domain experts from diverse applied disciplines.
Multimedia documents are ubiquitous and often required, if not
essential, in many applications today. This phenomenon has made
multimedia documents widespread and extremely large. There are tools for
managing and searching within these collections, but the need for tools
to extract hidden useful knowledge embedded within multimedia objects is
becoming pressing and central for many decision-making applications. The
tools needed today are tools for discovering relationships between
objects or segments within multimedia document components, such as
classifying images based on their content, extracting patterns in sound,
categorizing speech and music, and recognizing and tracking objects in
video streams.
Multimedia Mining: A Highway to Intelligent Multimedia Documents is
designed to meet the needs of a professional audience composed of
researchers and practitioners in industry and graduate-level students in
computer science and engineering.
