SELF-ORGANIZING IMAGE RETRIEVAL WITH MPEG-7 DESCRIPTORS
Markus Koskela, Jorma T. Laaksonen, Erkki Oja · 2001
Development of content-based image retrieval techniques has suffered from the lack of standardized ways for describing visual image content. Luckily, MPEG-7 is now emerging as both a 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 our image retrieval system named PicSOM. In this paper, we apply the visual content descriptors provided by MPEG-7 in the PicSOM system and compare our indexing technique with a reference system. The results of our experiments show that the MPEG-7-defined content descriptors can be used as such in PicSOM even though Euclidean distance calculation, inherently used in the PicSOM system, is not optimal for all of them.