CONF
grangier:2005:icme/IDIAP
Effect of Segmentation Method on Video Retrieval Performance
Grangier, David
Vinciarelli, Alessandro
EXTERNAL
https://publications.idiap.ch/attachments/reports/2004/rr04-83.pdf
PUBLIC
https://publications.idiap.ch/index.php/publications/showcite/grangier:2004:idiap-04-83
Related documents
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME-05)
2005
Amsterdam, The Netherlands
July 2005
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.
REPORT
grangier:2004:idiap-04-83/IDIAP
Effect of Segmentation Method on Video Retrieval Performance
Grangier, David
Vinciarelli, Alessandro
EXTERNAL
https://publications.idiap.ch/attachments/reports/2004/rr04-83.pdf
PUBLIC
Idiap-RR-83-2004
2004
IDIAP
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.