By Topic

Effect of segmentation method on video retrieval performance

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)
Grangier, D. ; IDIAP Res. Inst., Martigny, Switzerland ; Vinciarelli, A.

This paper presents experiments that evaluate the effect of different video segmentation methods on text-based video retrieval. Segmentations relying on modalities like speech, video and text or their combination are compared with a baseline sliding window segmentation. The results suggest that even with the sliding window segmentation, acceptable performance can be obtained on a broadcast news retrieval task. Moreover, in the case where manually segmented data are available for training, the approach combining the different modalities can lead to IR results close to those obtained with a manual segmentation.

Published in:

Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on

Date of Conference:

6-8 July 2005