The advent of increasingly large consumer collections of audio
(e.g., iTunes), imagery (e.g., Flickr), and video (e.g., YouTube)
is driving a need not only for multimedia retrieval but also
information extraction from and across media. Furthermore,
industrial and government collections fuel requirements for stock
media access, media preservation, broadcast news retrieval,
identity management, and video surveillance. While
significant advances have been made in language processing for
information extraction from unstructured multilingual text and
extraction of objects from imagery and video, these advances have
been explored in largely independent research communities who have
addressed extracting information from single media (e.g., text,
imagery, audio). And yet users need to search for concepts
across individual media, author multimedia artifacts, and perform
multimedia analysis in many domains.
This collection is intended to serve several purposes, including
reporting the current state of the art, stimulating novel research,
and encouraging cross-fertilization of distinct research
disciplines. The collection and integration of a common base of
intellectual material will provide an invaluable service from which
to teach a future generation of cross disciplinary media scientists
and engineers.
