Abstract
This paper presents a new model for multiple media stream data analysis as well as descriptions of some applications of this model. This model formalizes the exploitation of correlations between multiple, potentially heterogeneous, media streams in support of numerous application areas. The goal of the technique is to determine temporal and spatial alignments which optimize a correlation function and indicate commonality and synchronization between media streams. It also provides a framework for comparison of media in unrelated domains.
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© 1998 Springer-Verlag Berlin · Heidelberg
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Makedon, F., Owen, C. (1998). Multiple Media Stream Data Analysis: Theory and Applications. In: Balderjahn, I., Mathar, R., Schader, M. (eds) Classification, Data Analysis, and Data Highways. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72087-1_9
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DOI: https://doi.org/10.1007/978-3-642-72087-1_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63909-1
Online ISBN: 978-3-642-72087-1
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