Abstract
Video modeling and annotating are indispensable operations necessary for creating and populating a video database. To annotate video data effectively and accurately, a video content description ontology is first proposed in this paper, we then introduce a semi-automatic annotation strategy which utilize various video processing techniques to help the annotator explore video context or scenarios for annotation. Moreover, a video scene detection algorithm which joints visual and semantics is proposed to visualize and refine the annotation results. With the proposed strategy, a more reliable and efficient video content description could be achieved. It is better than manual manner in terms of efficiency, and better than automatic scheme in terms of accuracy.
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© 2002 Springer-Verlag Berlin Heidelberg
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Zhu, X., Fan, J., Xue, X., Wu, L., Elmagarmid, A.K. (2002). Semi-automatic Video Content Annotation. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_31
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DOI: https://doi.org/10.1007/3-540-36228-2_31
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