DocumentCode :
384442
Title :
Using MPEG-7 descriptors in image retrieval with self-organizing maps
Author :
Koskela, Markus ; Laaksonen, Jorma ; Oja, Erkki
Author_Institution :
Lab. of Comput. & Inf. Sci., Helsinki Univ. of Technol., Finland
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1049
Abstract :
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self-organizing technique for content-based image retrieval. In this paper we apply the visual content descriptors provided by MPEG-7 in our PicSOM system and compare our own image indexing technique with a reference method based on vector quantization. The results of our experiments show that the MPEG-7 descriptors can be used as such in the PicSOM system.
Keywords :
content-based retrieval; image retrieval; relevance feedback; self-organising feature maps; vector quantisation; MPEG-7 descriptors; PicSOM system; agreed-upon content descriptors; content description; content-based image retrieval; image indexing; image retrieval; self-organizing maps; vector quantization; Content based retrieval; Image databases; Image retrieval; Indexing; Information science; Laboratories; MPEG 7 Standard; Multimedia systems; Self organizing feature maps; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1048485
Filename :
1048485
Link To Document :
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