By Topic

Lessons learned from building a terabyte digital video library

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
H. D. Wactlar ; Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA ; M. G. Christel ; Yihong Gong ; A. G. Hauptmann

The Informedia Project at Carnegie Mellon University has created a terabyte digital video library in which automatically derived descriptors for the video are used for indexing, segmenting and accessing the library contents. Begun in 1994, the project presented numerous challenges for library creation and deployment, valuable information covered in this article. The authors, developers of the project at Carnegie Mellon University, addressed these challenges by: automatically extracting information from digitized video; creating interfaces that allowed users to search for and retrieve videos based on extracted information; and validating the system through user testbeds. Through speech, image, and natural language processing, the Informedia Project has demonstrated that previously inaccessible data can be derived automatically and used to describe and index video segments

Published in:

Computer  (Volume:32 ,  Issue: 2 )