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March 31, 1998NSF IDM 98, Group F1 Group F Multi-modal Issues, Systems and Applications.

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Presentation on theme: "March 31, 1998NSF IDM 98, Group F1 Group F Multi-modal Issues, Systems and Applications."— Presentation transcript:

1 March 31, 1998NSF IDM 98, Group F1 Group F Multi-modal Issues, Systems and Applications

2 March 31, 1998NSF IDM 98, Group F2 Mission Statement Our mission is to develop the technology necessary to support fully-integrated multi-media database systems including many different types of data, such as text, images, signals, presentations, videos, audio clips, dynamic data, scientific data, and software.

3 March 31, 1998NSF IDM 98, Group F3 The new technology will include  New data representations and storage schemes  To encode data in ways that facilitate retrieval and other operations  Full integration (fusion) of multimedia information  Combining different types of information from different sources  New types of queries, new definitions of “matching”  New ways of organizing, indexing, and retrieving data  New multimodal interfaces that allow users to interact with diverse data  Constructing multimedia documents  Data acquisition tools and systems  Mining of multimedia data

4 March 31, 1998NSF IDM 98, Group F4 Research Directions: Most Important What are the most important problems to solve? Short term? Long term?  Features  Efficient algorithms and tools for manipulation and retrieval of compressed data.  New features and new extraction techniques for complex or nontraditional data types such as volumetric images, dynamic sequences, hyperspectral images.  Feature extraction in transformed domains.  Pose-invariant features. Data analysis and Modeling  Content analysis of multimedia data Feature extraction Pattern recognition Spatio-temporal analysis Multi-level analysis  (Collaborative work with related disciplines) - Content modeling

5 March 31, 1998NSF IDM 98, Group F5 Research Directions: Most Important (cont.)  Search and indexing  For multimedia documents  With multimedia queries*  For high-dimensional data  For nontraditional data  By similarity measures at multiple levels * Include text (NLP), images and signals (IP, SP), videos (VP), audio (SP), scientific data (visualization), source code. Methods of evaluation  Benchmarks  Quality metrics Query formulation  What kinds of queries  What kinds of user interfaces

6 March 31, 1998NSF IDM 98, Group F6 Research Directions: Most Important (cont.)  Impact  Use of multimedia data in:  Interfaces for the handicapped  Improving k-12 education (the digital earth, the solar system, art…)  Distance learning  Electronic commerce  Multimedia patient records (he electronic patient)  Needs:  What research facilities are needed? (i.e. repositories, computing facilities, major infrastructure)  Standard test databases, ground truth  Images, outdoor scenes, video clips,indoor scenes, medical, remote sensing, faces.

7 March 31, 1998NSF IDM 98, Group F7 Research Directions: Midterm Plans  Nontraditional Data types  3D (volumetric data)  VR data  Animations  Interoperability  Establish a common language for content-based search.  Self-creating, self-maintaining databases  Accepts data of different multi-media types  Creates structures based on metaknowledge  Learns from sequences of user interactions

8 March 31, 1998NSF IDM 98, Group F8 Research Directions: Not Our Emphasis  System concerns  Efficient storage of multimedia data  Optimization of multimedia queries  Time/quality tradeoffs for rapid access


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