TY - CONF
T1 - Semantic video model for content-based retrieval
AU - Koh, Jia Ling
AU - Lee, Chin Sung
AU - Chen, Arbee L.P.
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0032676493&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0032676493&partnerID=8YFLogxK
M3 - Paper
AN - SCOPUS:0032676493
SP - 472
EP - 478
T2 - Proceedings of the 1999 6th International Conference on Multimedia Computing and Systems - IEEE ICMCS'99
Y2 - 7 June 1999 through 11 June 1999
ER -