A Multimedia Data Streams Model for Content-based Information Retrieval

نویسندگان

  • Shenoda Guirguis
  • Rohit Kulkarni
  • Shi-Kuo Chang
چکیده

Multimedia applications nowadays are becoming the standard, for they utilize the enormous human brain computational power. In the past, the Relational Database Model was generalized to the Multimedia Databases Model. Orthogonally, the Relational Database model was recently generalized to the Data Streams Model, as the technology advanced and Data became bulky and unbounded in size, utilizing sensor networks. In this paper, we take one more step of generalization, by providing a Multimedia Data Streams model. We give the formalization in details of the multimedia data streams problem. The objective is to furnish a formal framework to efficiently design a Multimedia Data Streams (MMDS) schema that achieves an efficient performance in regard with content based retrieval. We also extend the Functional Dependency Theory and the Normalization Framework to handle Multimedia Data Streams. Finally, we discuss algorithmic methods of generating Continuous Multimedia Queries, along with concrete examples for further illustration.

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تاریخ انتشار 2008