The University of Arizona

Home     About     Colloquia     People     Research     Undergraduate Program     Courses     Get Involved     Support     Contact Us

SISTA Colloquium

CategoryColloquium
DateMonday, February 27, 2012
Time12:00 pm
Concludes1:30 pm
LocationGould-Simpson 906
SpeakerAlon Efrat, PhD
School/Dept.Associate Professor
AffiliationComputer Science

The SLIC project: Cross-modality Indexing and Browsing of Distance Learning Media

In this talk we will discuss the SLIC project developed at the University of Arizona and IBM Almaden Research center. SLIC (Semantically Linked Instructional Content) aims to assist students and scholars in efficiently browsing and seeking segments of interest in educational videos of lectures and talks. In particular, SLIC focuses on lectures that use slides, where the content of the slides file gives valuable hints as to how to break the video into meaningful parts (segments), and how to enable students to access these segments. In this way, a student who is seeking a specific topic in the video of a lecture(s) can first find the relevant slide(s), then start watching the video from the segment(s) where this slide was used. Using similar ideas, the system can also improve significantly the understandability of the video, improve its quality, and increase the overall effectiveness of the learning process. The system also enables access to educational video using a PDA, overcoming the technical difficulties that the PDA poses, such as limited bandwidth and small screen.

Biography

Professor Alon Efrat is an Associate Professor in the Computer Science Department at the University of Arizona. In 2004 he won an NSF CAREER award to work on a project titled, "Pattern Matching, Realistic Input Models and Sensor Placement. Useful Algorithms in Computational Geometry." Alon is on the editorial board of IJCGA and the Transactions on Algorithms Engineering. His research intersts include geometric pattern matching, realistic input models, geographics information science and spatial data bases, and algorithms for mobile robots.