Abstract
As more information sources become available in multimedia systems, the development of multimedia database management systems (MDBMSs) to efficiently model and search multimedia data, especially video data, becomes very crucial for multimedia applications. In response to such a demand, a probabilistic-based mechanism called the Markov Model Mediator (MMM) to facilitate an MDBMS for video database systems is presented. In our previous studies, the spatial relations of the semantic objects in the image/video data modeled by the MMM mechanism are assumed given by image processing/computer vision techniques or by human annotations. In this paper, an unsupervised video segmentation method that can identify objects with their corresponding spatial relations automatically is incorporated into the MMM mechanism. Based on the information obtained, users can retrieve video materials from video databases via database queries. Hence, both multimedia data modeling and image processing capabilities are integrated into the MMM mechanism.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Multi-Media and Expo |
| Pages | 467-470 |
| Number of pages | 4 |
| Edition | I/MONDAY |
| State | Published - Dec 1 2000 |
| Event | 2000 IEEE Internatinal Conference on Multimedia and Expo (ICME 2000) - New York, NY, United States Duration: Jul 30 2000 → Aug 2 2000 |
Other
| Other | 2000 IEEE Internatinal Conference on Multimedia and Expo (ICME 2000) |
|---|---|
| Country | United States |
| City | New York, NY |
| Period | 7/30/00 → 8/2/00 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
A probabilistic-based mechanism for video database management systems. / Shyu, Mei-Ling; Chen, S. C.; Kashyap, R. L.
IEEE International Conference on Multi-Media and Expo. I/MONDAY. ed. 2000. p. 467-470.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A probabilistic-based mechanism for video database management systems
AU - Shyu, Mei-Ling
AU - Chen, S. C.
AU - Kashyap, R. L.
PY - 2000/12/1
Y1 - 2000/12/1
N2 - As more information sources become available in multimedia systems, the development of multimedia database management systems (MDBMSs) to efficiently model and search multimedia data, especially video data, becomes very crucial for multimedia applications. In response to such a demand, a probabilistic-based mechanism called the Markov Model Mediator (MMM) to facilitate an MDBMS for video database systems is presented. In our previous studies, the spatial relations of the semantic objects in the image/video data modeled by the MMM mechanism are assumed given by image processing/computer vision techniques or by human annotations. In this paper, an unsupervised video segmentation method that can identify objects with their corresponding spatial relations automatically is incorporated into the MMM mechanism. Based on the information obtained, users can retrieve video materials from video databases via database queries. Hence, both multimedia data modeling and image processing capabilities are integrated into the MMM mechanism.
AB - As more information sources become available in multimedia systems, the development of multimedia database management systems (MDBMSs) to efficiently model and search multimedia data, especially video data, becomes very crucial for multimedia applications. In response to such a demand, a probabilistic-based mechanism called the Markov Model Mediator (MMM) to facilitate an MDBMS for video database systems is presented. In our previous studies, the spatial relations of the semantic objects in the image/video data modeled by the MMM mechanism are assumed given by image processing/computer vision techniques or by human annotations. In this paper, an unsupervised video segmentation method that can identify objects with their corresponding spatial relations automatically is incorporated into the MMM mechanism. Based on the information obtained, users can retrieve video materials from video databases via database queries. Hence, both multimedia data modeling and image processing capabilities are integrated into the MMM mechanism.
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UR - http://www.scopus.com/inward/citedby.url?scp=0034509480&partnerID=8YFLogxK
M3 - Conference contribution
SP - 467
EP - 470
BT - IEEE International Conference on Multi-Media and Expo
ER -