DocumentCode :
1944070
Title :
Multimedia semantic features and image content description
Author :
Cavazza, Marc ; Green, Roger ; Palmer, Ian
Author_Institution :
Dept. of Electron. Imaging & Media Commun., Bradford Univ., UK
fYear :
1998
fDate :
12-15 Oct 1998
Firstpage :
39
Lastpage :
46
Abstract :
Content based indexing and retrieval of images and video requires a proper semantic description for image content. The paper discusses the mapping of high level, application specific features to the visual primitives that are accessible through image processing techniques. A major difficulty is that there are currently no established methodologies for describing the contents of an image in terms of semantic features, and we suggest that semiotic approaches could be adapted to the task of image description in limited areas of expertise. After reviewing current trends in the mapping of high level to low level features, we present preliminary results that suggest a possible strategy for mapping semiotic descriptions to image processing primitives
Keywords :
document image processing; indexing; information retrieval; multimedia computing; visual databases; application specific features; content based indexing; image content description; image description; image processing primitives; image processing techniques; image retrieval; multimedia semantic features; semantic description; semiotic approaches; semiotic descriptions; visual primitives; Artificial intelligence; Cultural differences; Electrical capacitance tomography; History; Image analysis; Image color analysis; Image retrieval; MPEG 7 Standard; Natural languages; Ontologies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Modeling, 1998. MMM '98. Proceedings. 1998
Conference_Location :
Lausanne
Print_ISBN :
0-8186-8911-0
Type :
conf
DOI :
10.1109/MULMM.1998.722973
Filename :
722973
Link To Document :
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