Introduction to algorithms
Video tomography: an efficient method for camerawork extraction and motion analysis
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Multimedia Systems - Special issue on content-based retrieval
Automatic content-based retrieval of broadcast news
Proceedings of the third ACM international conference on Multimedia
Communications of the ACM
Visual information retrieval from large distributed online repositories
Communications of the ACM
Clustering Algorithms
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Automatic Video Database Indexing and Retrieval
Multimedia Tools and Applications
An Annotation Engine for Supporting Video Database Population
Multimedia Tools and Applications
Multimedia Tools and Applications
Automatic Composition Techniques for Video Production
IEEE Transactions on Knowledge and Data Engineering
Efficient Color Histogram Indexing for Quadratic Form Distance Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A System for Customized News Delivery from Video Archives
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Implementation of the SMART Information Retrieval System
Implementation of the SMART Information Retrieval System
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Spatio-Temporal Querying in Video Databases
FQAS '02 Proceedings of the 5th International Conference on Flexible Query Answering Systems
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We propose a novel four-step hybrid approach for retrieval and composition of video newscasts based on information contained in different metadata sets. In the first step, we use conventional retrieval techniques to isolate video segments from the data universe using segment metadata. In the second step, retrieved segments are clustered into potential news items using a dynamic technique sensitive to the information contained in the segments. In the third step, we apply a transitive search technique to increase the recall of the retrieval system. In the final step, we increase recall performance by identifying segments possessing creation-time relationships. A quantitative analysis of the performance of the process on a newscast composition shows an increase in recall by 59 percent over the conventional keyword-based search technique used in the first step.