Abstract
There are more and more researchers concentrate on the spatio-temporal relationships during the video retrieval process. However, these researches are just limited to trajectory-based or content-based retrieval, and we seldom retrieve information referring to semantics. For satisfying the naive users’ requirement from the common point of view, in this paper, we propose a novel approach for motion recognition from the aspect of semantic meaning. This issue can be addressed through a hierarchical model that explains how the human language interacts with motions. And, in the experiment part, we evaluate our new approach using trajectory distance based on spatial relations to distinguish the conceptual similarity and get the satisfactory results.
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Cho, M., Song, D., Choi, C., Kim, P. (2006). Measuring Similarity in the Semantic Representation of Moving Objects in Video. In: Lang, J., Lin, F., Wang, J. (eds) Knowledge Science, Engineering and Management. KSEM 2006. Lecture Notes in Computer Science(), vol 4092. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811220_8
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DOI: https://doi.org/10.1007/11811220_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37033-8
Online ISBN: 978-3-540-37035-2
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