Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Story segmentation in news videos using visual and text cues
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A quick search method for audio and video signals based on histogram pruning
IEEE Transactions on Multimedia
Adaptive division of feature space for rapid detection of near-duplicate video segments
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
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Recently, for reusing large quantities of accumulated news video, technology for news topic searching and tracking has become necessary. Moreover, since we need to understand a certain topic from various viewpoints, we focus on identical event detection in various news programs from different countries. Currently, text information is generally used to retrieve news video. However, cross-lingual retrieval is complicated by machine translation performance and different viewpoints and cultures. In this paper, we propose a cross-lingual retrieval method for detecting identical news events that exploits image information together with text information. In an experiment, we verified the effectiveness of making use of the existence of near-duplicate video segments and the possibility of improving retrieval performance.