By Topic

Improving broadcast news segmentation processing

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
$31 $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

2 Author(s)
Boykin, S. ; Mitre Corp., USA ; Merlino, A.

We discuss techniques and results for automatically segmenting multimedia sources, with specific emphasis on broadcast news. We describe techniques that detect news events (e.g., start and stop, of stories or advertisements) using simple cues within and across multimedia streams (e.g., audio, video, text). In addition, we discuss a process for an evaluation and modification of our model using precision and recall metrics. Guided by our findings, we isolate multimedia cues that we consider critical in news story and advertisement segmentation. We also discuss ideas for improving segmentation beyond the methods described. Throughout the paper, we reference MITRE's Broadcast News Navigator (BNN) used to perform event segmentation

Published in:

Multimedia Computing and Systems, 1999. IEEE International Conference on  (Volume:1 )

Date of Conference:

Jul 1999