Knowledge Representation for Video Assisted by Domain-Specific Ontology

  • Dan Song
  • Miyoung Cho
  • Chang Choi
  • Juhyun Shin
  • Jongan Park
  • Pankoo Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4303)


Video analysis typically has been pursued in two different directions. Either previous approaches have focused on low-level descriptors, such as dominant color, or they have focused on the video content, such as person or object. In this paper, we present a video analysis environment not only to bridge these two directions but also can extract and manage semantic metadata from multimedia content autonomously for addressing the interaction between browsing and search capabilities. Concretely speaking, we implemented a tool that links MPEG-7 visual descriptors to high-level, domain-specific concepts. Our approach is ontology-driven, in the sense that we provide ontology based domain-specific extensions of the standards for describing the knowledge of video content. In this work, we consider one shot (episode) in the billiard game of video as the specific domain and we will be through the practical works to explain the process of representation of video knowledge. In the experiment part, we prove our approach effectiveness by comparing with the video content retrieval based on only key-word.


Video Content Multimedia Content Domain Ontology Semantic Concept Image Annotation 
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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  1. 1.
    Chang, S.-F., Sikora, T., Puri, A.: Overview of the MPEG-7 standard. IEEE Trans. on Circuits and Systems for Video Technology 11(6), 688–695 (2001)CrossRefGoogle Scholar
  2. 2.
    Dupplaw, D., Dasmahapatra, S., Hu, B., Lewis, P., Shadbolt, N.: Multimedia Distrib-uted Knowledge Management in MIAKT. In: ISWC Workshop on Knowledge Markup and Semantic Annotation, Hiroshima, Japan (November 2004)Google Scholar
  3. 3.
    Hollink, L., Schreiber, G., Wielemaker, J., Wielinga, B.: Semantic Annotation of Image Collections. In: Proceedings of Knowledge Capture - Knowledge Markup and Semantic Annotation Workshop (2003)Google Scholar
  4. 4.
    Schreiber, G., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-Based Photo Annotation. IEEE Intelligent Systems 16(3) (2001)Google Scholar
  5. 5.
    Yeo, B.L., Liu, B.: Rapid scene change detection on compressed video. IEEE Trans. Circuits Syst. Video Technol. 5, 533–544 (1995)CrossRefGoogle Scholar
  6. 6.
    Strintzis, M.G., Bloehdorn, S., Handschuh, S., Staab, S., Simou, N., Tzouvaras, V., Petridis, K., Kompatsiaris, I., Avrithis, Y.: Knowledge representation for semantic multimedia content analysis and reasoning. In: European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (November 2004)Google Scholar
  7. 7.
    Multimedia content description interface-part 8: extraction and use of Mpeg-7 descriptors. ISO/IEC 15938-8 (2002)Google Scholar
  8. 8.
    Kompatsiaris,, Mezaris, V., Strintzis, M.G.: Multimedia content indexing and retrieval using an object ontology. In: Stamou, G. (ed.) Multimedia Content and Semantic Web - Methods, Standards and Tools, Wiley, New York (2004)Google Scholar
  9. 9.
    Hauptmann, A.G.: Towards a Large Scale Concept Ontology for Broadcast Video. In: Enser, P.G.B., Kompatsiaris, Y., O’Connor, N.E., Smeaton, A.F., Smeulders, A.W.M. (eds.) CIVR 2004. LNCS, vol. 3115, pp. 674–675. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  10. 10.
    Halaschek-Wiener, C., Simou, N., Tzouvaras, V.: Image Annotation on the Semantic Web. In: W3C Candidate Recommendation, W3C Working Draft, March 22 (2006)Google Scholar
  11. 11.
    Knublauch, M.H.H., Rector, A.: A Practical Guide To Building OWL Ontologies Using The Prot´eg´e-OWL Plugin and CO-ODE Tools Edition 1.0, W3C Candidate Recommendation, 10 August 27 (2004)Google Scholar
  12. 12.
    Schreiber, A.T., Dubbeldam, B., Wielemaker, J., Wielinga, B.: Ontology-based photo annotation. IEEE Intell. Syst. 16, 66–74 (2001)CrossRefGoogle Scholar
  13. 13.
    Adanck, T., O’Connor, N., Murphy, N.: Region-based Segmentation of Image Using Syn-tactic Visual Features. In: Pro. Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2005, Montreux, Swizerland, April 13-15 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dan Song
    • 1
  • Miyoung Cho
    • 1
  • Chang Choi
    • 1
  • Juhyun Shin
    • 1
  • Jongan Park
    • 2
  • Pankoo Kim
    • 3
  1. 1.Dept. of Computer ScienceChosun UniversityGwangjuKorea
  2. 2.Dept. of Information and Communication EngineeringChosun UniversityKorea
  3. 3.Dept. of CSEChosun UniversityKorea

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