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