Abstract
Most of the researchers have used spatio-temporal relations for retrieval in video. It’s just trajectory-based or content-based retrieval. However, we seldom retrieve information referring to semantics. So, 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 human motions. And, in the experiment part, we evaluate our new approach using trajectory distance based on spatio-temporal relations to distinguish the conceptual similarity and get the satisfactory results.
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Cho, M., Song, D., Choi, C., Choi, J., Park, J., Kim, P. (2006). Comparison Between Motion Verbs Using Similarity Measure for the Semantic Representation of Moving Object. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_29
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DOI: https://doi.org/10.1007/11788034_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36018-6
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