Features for image retrieval: an experimental comparison

An experimental comparison of a large number of different image descriptors for content-based image retrieval is presented. Many of the papers describing new techniques and descriptors for content-based image retrieval describe their newly proposed methods as most appropriate without giving an in-depth comparison with all methods that were proposed earlier. In this paper , we first give an overview of a large variety of features for content-based image retrieval and compare them quantitatively on four different tasks: stock photo retrieval, personal photo collection retrieval, building retrieval, and medical image retrieval. For the experiments, five different, publicly available image databases are used and the retrieval performance of the features is analysed in detail. This allows for a direct comparison of all features considered in this work and furthermore will allow a comparison of newly proposed features to these in the future. Additionally, the correlation of the features is ...

• Type: Journal
• Year: 2008
• Where: IR
• Authors: Thomas Deselaers, Daniel Keysers, Hermann Ney
• Keywords: Content-based Image Retrieval, IR 2008, Medical Image Retrieval, Natural Language Processing, Stock Photo Retrieval