[Sigia-l] Mobile Media Metadata: The Future of Mobile Imaging
Livia Labate
liv at livlab.com
Thu Apr 1 18:45:16 EST 2004
FYI (Webcast this Friday)
----- Original Message -----
From: "Terry Winograd" <winograd at cs.stanford.edu>
*************************************************************
Stanford Seminar on People, Computers, and Design (CS547)
Home page: http://hci.stanford.edu/seminar
This talk will be available as on-line video.
Look under Computer Science 547 in
http://scpd.stanford.edu/scpd/students/courseList.asp
*************************************************************
Friday, April 2, 2004, 12:30-2:00pm PST (UT 20:30)
Gates B01 (HP Classroom) and SITN
Marc Davis, UC Berkeley School of Information Management and Systems
http://garage.sims.berkeley.edu
TITLE: Mobile Media Metadata: The Future of Mobile Imaging
ABSTRACT:
The devices and usage context of consumer digital photography are undergoing
rapid transformation from the traditional camera-to-desktop-to-network image
pipeline to an integrated mobile imaging experience. In 2003, more camera
phones were sold than digital cameras worldwide. The ascendancy of mobile
media capture devices makes possible a significant new paradigm for digital
imaging because, unlike traditional digital cameras, camera phones integrate
capture, programmable processing, networking, and rich user interaction
capabilities in one mobile device. We will discuss our Mobile Media
Metadata prototype (MMM) which leverages the spatio-temporal context and
social community of media capture to infer media content.
In our approach we:
·Gather all automatically available information at the point of capture
(time, spatial location, phone user, etc.)
·Use metadata similarity algorithms to find similar media that has
been annotated before
·Take advantage of this previously annotated media to make educated
guesses about the content of the newly captured media
·Interact in a simple and intuitive way with the phone user to confirm
and augment system-supplied metadata for captured media
As a result of this approach, we believe we will solve a fundamental
problem in personal media production and reusethe need to have
content-based access to the media consumers capture and share on mobile
imaging devices. This talk will address our Mobile Media Metadata
technology, various mobile media applications designs, user interaction
issues, and future project in mobile imaging.
**********************************************************[
Marc Davis is an Assistant Professor at the School of Information
Management and Systems (SIMS) at the University of California at Berkeley
where he directs the Garage Cinema Research group
(http://garage.sims.berkeley.edu).
His work is focused on creating the technology and applications that will
enable daily media consumers to become daily media producers. Prof. Davis'
research and teaching encompass the theory, design, and development of
digital media systems for creating and using media metadata to automate
media production and reuse. As part of his doctoral dissertation at the MIT
Media Laboratory, he developed Media Streams, an iconic visual language for
annotating, retrieving, and repurposing digital video. From 1993 to 1998 at
Interval Research Corporation, he led research and development teams in
automatic media production technology for which a patent was awarded in
2001. From 1999 to 2002, Prof. Davis was Chairman and Chief Technology
Officer of Amova, Inc., a developer of media automation and personalization
technology. At UC Berkeley, Prof. Davis is a Co-Founder and Executive
Committee Member of the interdisciplinary Center for New Media (CNM). He is
also an Advisory Board Member of the Art, Technology, and Culture Colloquium
(ATC) and an Affiliated Faculty Member of the Berkeley Institute of Design
(BiD).
**************************************************************
More information about the Sigia-l
mailing list