DRO

Conceptual representation for multimedia information

Smith, R. W., Kieronska, D. and Venkatesh, S. 1997, Conceptual representation for multimedia information, International journal of pattern recognition and artificial intelligence, vol. 11, no. 2, pp. 303-327.


Title Conceptual representation for multimedia information
Author(s) Smith, R. W.
Kieronska, D.
Venkatesh, S.
Journal name International journal of pattern recognition and artificial intelligence
Volume number 11
Issue number 2
Start page 303
End page 327
Total pages 24
Publisher World Scientific Publishing Co.
Place of publication Toh Tuck Link, Singapore
Publication date 1997
ISSN 0218-0014
1793-6381
Summary 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.
Language eng
Field of Research 080305 Multimedia Programming
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044196

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 32 Abstract Views  -  Detailed Statistics
Created: Thu, 05 Apr 2012, 15:57:05 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.