Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool

Roger William Smith; Dorota H. Kieronska; Svetha Venkatesh

doi:10.1117/12.234787

13 March 1996 Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool

Roger William Smith, Dorota H. Kieronska, Svetha Venkatesh

Proceedings Volume 2670, Storage and Retrieval for Still Image and Video Databases IV; (1996) https://doi.org/10.1117/12.234787
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Multimedia information is now routinely available in the forms of text, pictures, animation and sound. Although text objects are relatively easy to deal with (in terms of information search and retrieval), other information bearing objects (such as sound, images, animation) are more difficult to index. Our research is aimed at developing better ways of representing multimedia objects by using a conceptual representation based on Schank's conceptual dependencies. Moreover, the representation allows for users' individual interpretations to be embedded in the system. This will alleviate the problems associated with traditional semantic networks by allowing for coexistence of multiple views of the same information. The viability of the approach is tested, and the preliminary results reported.

Citation Download Citation

Roger William Smith, Dorota H. Kieronska, and Svetha Venkatesh "Media-independent knowledge representation via UMART: unified mental annotation and retrieval tool", Proc. SPIE 2670, Storage and Retrieval for Still Image and Video Databases IV, (13 March 1996); https://doi.org/10.1117/12.234787

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