DocumentCode :
2233569
Title :
Effect of segmentation method on video retrieval performance
Author :
Grangier, David ; Vinciarelli, Alessandro
Author_Institution :
IDIAP Res. Inst., Martigny, Switzerland
fYear :
2005
fDate :
6-8 July 2005
Abstract :
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.
Keywords :
content-based retrieval; image segmentation; text analysis; video retrieval; broadcast news retrieval; data segmentation; sliding window segmentation; text-based video retrieval; video segmentation method; Broadcasting; Data mining; Gunshot detection systems; Information retrieval; Multimedia communication; Multimedia databases; Optical recording; Speech; Video recording; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2005. ICME 2005. IEEE International Conference on
Print_ISBN :
0-7803-9331-7
Type :
conf
DOI :
10.1109/ICME.2005.1521346
Filename :
1521346
Link To Document :
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