Abstract
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 23% for the third step of the process and 48% for the fourth step, over the conventional keyword-based search technique used in the first step.
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© 1999 IFIP International Federation for Information Processing
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Ahanger, G., Little, T.D.C. (1999). Data Semantics for Improving Retrieval Performance of Digital News Video Systems. In: Meersman, R., Tari, Z., Stevens, S. (eds) Database Semantics. IFIP — The International Federation for Information Processing, vol 11. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35561-0_5
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DOI: https://doi.org/10.1007/978-0-387-35561-0_5
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