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Fuzzy aesthetic semantics description and extraction for art image retrieval
2009
Computers and Mathematics with Applications
More and more digitized art images are accumulated and expanded in our daily life and techniques are needed to be established on how to organize and retrieve them. Though content-based image retrieval (CBIR) made great progress, current low-level visual information based retrieval technology in CBIR does not allow users to search images by high-level semantics for art image retrieval. We propose a fuzzy approach to describe and to extract the fuzzy aesthetic semantic feature of art images.
doi:10.1016/j.camwa.2008.10.058
fatcat:a7twgpnvenez5djo6v6ocj7s3u