COLOR IMAGE SEMANTIC INFORMATION RETRIEVAL SYSTEM USING HUMAN SENSATION AND EMOTION
Hae-Yeon Choi, Seong-Yong Hong · Issues in Information Systems · 2006
Most of the content-based image retrieval systems focus on similarity-based retrieval of images by utilizing color, shape and texture features.In this paper we propose a new searching scheme, called FMV Indexing, to guarantee higher retrieval quality.This scheme allows us to retrieve images based on high-level semantic concepts such as "cool," "soft," "strong," etc.Our experimental results show that proposed techniques can facilitate users' searching intentions more accurately and give a more favorable feeling of satisfaction to users.