A Content-Based Image Retrieval System with Image Semantic

Abstract:

With the development of information technology and multimedia technology, more and more images appear and have become a part of our daily life. Efficient image searching, storing, retrieval and browsing tools are in high need in various domains, including face and fingerprint recognition, publishing, medicine, architecture, remote sensing, fashion etc. Thus, many image retrieval systems have been developed to meet the need. The aim of content-based retrieval systems is to provide maximum support in bridging the semantic gap between the simplicity of available visual features and the richness of the user semantics. In this paper, we discuss the main technologies for reducing the semantic gap, namely, object-ontology, machine learning, relevance feedback.

• Periodical: Advanced Materials Research (Volume 159)
• Pages: 638-643
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.159.638
• Online since: December 2010
• Authors: Ying Ma, Lao Mo Zhang, Jin Xing Ma
• Keywords: Content-Based Image Retriveal, Image Annotation, Image Semantic

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