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IEEE Transactions on Pattern Analysis and Machine Intelligence
The elements of artificial intelligence using Common Lisp
The elements of artificial intelligence using Common Lisp
Using an object-oriented approach to model multimedia data
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Composition and Search with a Video Algebra
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A Knowledge-Based Approach for Retrieving Images by Content
IEEE Transactions on Knowledge and Data Engineering
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
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Efficient Color Histogram Indexing for Quadratic Form Distance Functions
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Interval-Based Conceptual Models for Time-Dependent Multimedia Data
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MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
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EDBT '02 Proceedings of the Worshops XMLDM, MDDE, and YRWS on XML-Based Data Management and Multimedia Engineering-Revised Papers
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Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
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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.