Recent Patents on Computer Science

Hamid Mcheick  
Computer Science Department
University of Quebec at Chicoutimi
Chicoutimi, Quebec


Automatically Annotating Images with Keywords: A Review of Image Annotation Systems

Author(s): Chihli Hung and Chih-Fong Tsai

Affiliation: Department of Accounting and Information Technology, National Chung Cheng University, Taiwan.

Keywords: content-based image retrieval, machine learning, Image annotation


The explosive growth of image data leads to the research and development of Content-Based Image Retrieval (CBIR) systems. CBIR systems extract and retrieve images by their low-level features, such as color, texture, and shape. However, these visual contents do not allow users to query images by semantic meanings. Image annotation systems, a solution to solve the inadequacy of CBIR systems, aim at automatically annotating image with some controlled keywords. Machine learning techniques are used to develop the image annotation systems to map the low-level (visual) features to high-level concepts or semantics. This paper reviews 50 image annotation systems using supervised machine learning techniques to annotate images for image retrieval. Future research issues are provided.

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Article Details

Page: [55 - 68]
Pages: 14
DOI: 10.2174/2213275910801010055