Semantic video model for content-based retrieval

Jia-Ling Koh, Chin Sung Lee, Arbee L.P. Chen

研究成果: 會議貢獻類型

10 引文 斯高帕斯(Scopus)

摘要

Traditional research on video data retrieval follows two general approaches. One is based on text annotation and the other on content-based comparison. However, these approaches do not fully make use of the meaning implied in a video stream. To improve these approaches, a semantic video model cooperated with a knowledge database is studied. In this paper, we propose a new semantic video model and focus on presenting the semantic meaning implied in a video. According to the granularity of the meaning implied in a video, a five-level layered structure to model a video stream is proposed. A mechanism is also provided to construct the five levels based on the knowledge categories defined in the knowledge database. The five-level layered structure consists of raw-data levels and semantic-data levels. A uniform semantics representation is proposed to represent the semantic-data levels. This uniform semantics representation allows measuring the similarity of two video streams with different duration. Then an interactive interface can provide browsing and querying video data efficiently through the uniform semantics representation.

原文英語
頁面472-478
頁數7
出版狀態已發佈 - 1999 一月 1
事件Proceedings of the 1999 6th International Conference on Multimedia Computing and Systems - IEEE ICMCS'99 - Florence, Italy
持續時間: 1999 六月 71999 六月 11

會議

會議Proceedings of the 1999 6th International Conference on Multimedia Computing and Systems - IEEE ICMCS'99
城市Florence, Italy
期間99/6/799/6/11

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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  • 引用此

    Koh, J-L., Lee, C. S., & Chen, A. L. P. (1999). Semantic video model for content-based retrieval. 472-478. 論文發表於 Proceedings of the 1999 6th International Conference on Multimedia Computing and Systems - IEEE ICMCS'99, Florence, Italy, .