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To date, visual feature representation is still limited in its ability to represent semantic image content accurately. This paper seeks to address these issues.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>In this paper the authors propose a novel meta\u2010feature feature representation method for scenery image retrieval. In particular some class\u2010specific distances (namely meta\u2010features) between low\u2010level image features are measured. For example the distance between an image and its class centre, and the distances between the image and its nearest and farthest images in the same class, etc.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Three experiments based on 190 concrete, 130 abstract, and 610 categories in the Corel dataset show that the meta\u2010features extracted from both global and local visual features significantly outperform the original visual features in terms of mean average precision.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Compared with traditional local and global low\u2010level features, the proposed meta\u2010features have higher discriminative power for distinguishing a large number of conceptual categories for scenery image retrieval. In addition the meta\u2010features can be directly applied to other image descriptors, such as bag\u2010of\u2010words and contextual features.<\/jats:p><\/jats:sec>","DOI":"10.1108\/14684521211254040","type":"journal-article","created":{"date-parts":[[2012,8,4]],"date-time":"2012-08-04T07:00:35Z","timestamp":1344063635000},"page":"517-533","source":"Crossref","is-referenced-by-count":0,"title":["Scenery image retrieval by meta\u2010feature representation"],"prefix":"10.1108","volume":"36","author":[{"given":"Chih\u2010Fong","family":"Tsai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei\u2010Chao","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2022030720361205600_b1","doi-asserted-by":"crossref","unstructured":"Carson, C., Belongie, S., Greenspan, H. and Malik, J. 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