Abstract
Efficient temporal video search will play an important role in the future related to the vast growth of video data in the Web. Here, index structures are one way to ensure efficient retrieval over a large amount of data. However, index structures targeting on indexing video data are rare. In this context, the paper introduces the TempoM 2 - tree framework, which features a two-level index structure supporting the retrieval of similar video segments in combination with temporal relations. © 2012 Springer-Verlag.
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CITATION STYLE
Döller, M., Stegmaier, F., Jans, S., & Kosch, H. (2012). TempoM 2: A multi feature index structure for temporal video search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7131 LNCS, pp. 323–333). https://doi.org/10.1007/978-3-642-27355-1_31
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