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Mid-Level Image Descriptors

Mid-Level Image Descriptors
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Author(s): Jean Martinet (University of Lille, France)and Ismail Elsayad (University of Lille, France)
Copyright: 2012
Pages: 15
Source title: Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies
Source Author(s)/Editor(s): Li Yan (Northeastern University, China)and Zongmin Ma (Northeastern University, China)
DOI: 10.4018/978-1-61350-126-9.ch003

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Abstract

We present in this chapter a classification of image descriptors, from the low level to the high level, introducing the notion of intermediate level. This level denotes a representation level lying between low-level features – such as color histograms, texture or shape descriptors, and high-level features – semantic concepts. In a chain of process point of view, mid-level descriptors represent an intermediate step or stage between low and high level, dedicated to specific tasks such as annotation, object detection/recognition, or similarity matching. After introducing a definition for the three different levels, we review a number of approaches making use of such intermediate levels. We namely focus on different approaches making an analogy with text processing, by adapting and applying standard text processing techniques to image indexing.

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