TY - GEN
T1 - Self-adaptive semantic schema mechanism for multimedia databases
AU - Yang, Jun
AU - Li, Qing
AU - Zhuang, Yueting
N1 - Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
PY - 2002/10
Y1 - 2002/10
N2 - In the context of multimedia retrieval, the goal of accuracy is to a certain extent contradictory with that of efficiency. The former relies on exploiting sophisticated features, whereas the latter favors using simple features with reduced dimensionality. As an endeavor to strike the balance between these two goals, this paper presents a self-adaptive semantic schema mechanism (SSM) for multimedia databases. The SSM is implemented based on an object-oriented data model, with classes being organized into a semantic hierarchy. As its most distinguishable feature, when the conditions of certain ECA-rules are satisfied, SSM supports adaptive evolution of a schema in the form of expansion with new classes and/or compaction by removing inefficient ones. This self-adaptive evolution strategy allows a schema to optimize for the requirements of each specific application, thereby achieving a dynamic, application-specific balance between accuracy and efficiency. A prototype system for multimedia retrieval, 2M2Net, has been built based on this mechanism and validated for its feasibility.
AB - In the context of multimedia retrieval, the goal of accuracy is to a certain extent contradictory with that of efficiency. The former relies on exploiting sophisticated features, whereas the latter favors using simple features with reduced dimensionality. As an endeavor to strike the balance between these two goals, this paper presents a self-adaptive semantic schema mechanism (SSM) for multimedia databases. The SSM is implemented based on an object-oriented data model, with classes being organized into a semantic hierarchy. As its most distinguishable feature, when the conditions of certain ECA-rules are satisfied, SSM supports adaptive evolution of a schema in the form of expansion with new classes and/or compaction by removing inefficient ones. This self-adaptive evolution strategy allows a schema to optimize for the requirements of each specific application, thereby achieving a dynamic, application-specific balance between accuracy and efficiency. A prototype system for multimedia retrieval, 2M2Net, has been built based on this mechanism and validated for its feasibility.
KW - ECA-rules
KW - Multimedia database
KW - schema evolution strategy
KW - self-adaptive
KW - semantic schema mechanism
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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85037698773&origin=recordpage
U2 - 10.1117/12.481571
DO - 10.1117/12.481571
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9780819447142
T3 - Proceedings of SPIE
BT - Electronic Imaging and Multimedia Technology III
PB - SPIE
T2 - Electronic Imaging and Multimedia Technology III 2002
Y2 - 14 October 2002 through 18 October 2002
ER -