Title :
Semantic modeling and knowledge representation in multimedia databases
Author :
Al-Khatib, Wasfi ; Day, Y. Francis ; Ghafoor, Arif ; Berra, P. Bruce
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
In this paper, we present the current state of the art in semantic data modeling of multimedia data. Semantic conceptualization can be performed at several levels of information granularity, leading to multilevel indexing and searching mechanisms. Various models at different levels of granularity are compared. At the finest level of granularity, multimedia data can be indexed based on image contents, such as identification of objects and faces. At a coarser level of granularity, indexing of multimedia data can be focused on events and episodes, which are higher level abstractions. In light of the above, we also examine modeling and indexing techniques of multimedia documents
Keywords :
content-based retrieval; data models; database indexing; knowledge representation; multimedia databases; query processing; visual databases; abstractions; episodes; events; face identification; image content; information granularity; knowledge representation; multilevel indexing mechanisms; multilevel searching mechanisms; multimedia data; multimedia databases; multimedia documents; object identification; semantic conceptualization; semantic data modeling; Computer Society; Content based retrieval; Image databases; Image processing; Image retrieval; Indexing; Information retrieval; Knowledge representation; Multimedia databases; Query processing;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
