Measuring Similarity in the Semantic Representation of Moving Objects in Video.

Conference Paper · January 2006with3 Reads
DOI: 10.1007/11811220_8 · Source: DBLP
Conference: Knowledge Science, Engineering and Management, First International Conference, KSEM 2006, Guilin, China, August 5-8, 2006, Proceedings


    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.