Emotional Semantics Extraction from Image Texture Based on Fuzzy Recognize Degree
Wang Li · Jisuanji gongcheng · 2009
The low-level visual features(color,texture and shape) in image implicate lots of emotional semantics information with human perception.This paper proposes a new indexing scheme,called Fuzzy Recognize Degree(FRD) clustering using the texture feature.This method allows to retrieve images for emotion-assisted semantic analysis based on high-level affective concepts.For this purpose,a set of perceptual relevant features is introduced:directionality,contrast and coarseness.Collecting indooor decoration images,experimental result shows the high performance of the proposed technique.