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.