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A Semantic Model for Video Description and Retrieval

  • Chia-Han Lin
  • Andro H.C. Lee
  • Arbee L.P. Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2532)

Abstract

In this paper, a semantic video retrieval system is proposed based on the stories of the videos. A hierarchical knowledge model is used to express the semantic meanings contained in the videos, and a video query language is also provided. The terms of Object, Action and Relation are used to specify rich and complex semantic meanings in a query. Based on the proposed knowledge model, the retrieval system is able to make inferences on the terms appearing in a query, and determine whether a video semantically matches the query conditions. The semantic similarity measurement is also proposed for processing approximate queries.

Keywords

Video Clip Query Processing Semantic Model Query Result Semantic Meaning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Chia-Han Lin
    • 1
  • Andro H.C. Lee
    • 1
  • Arbee L.P. Chen
    • 1
  1. 1.Department of Computer ScienceNational Tsing Hua UniversityHsinchu, TaiwanR.O.C.

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