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Perceptually based techniques for semantic image classification and retrieval
2006
Human Vision and Electronic Imaging XI
The accumulation of large collections of digital images has created the need for efficient and intelligent schemes for content-based image retrieval. Our goal is to organize the contents semantically, according to meaningful categories. We present a new approach for semantic classification that utilizes a recently proposed color-texture segmentation algorithm (by Chen et al.), which combines knowledge of human perception and signal characteristics to segment natural scenes into perceptually
doi:10.1117/12.660612
dblp:conf/hvei/DepalovPLG06
fatcat:w5oe3m4f3nc6hmot3xfpacdjou