Purpose: This paper presents various  image indexing techniques and discusses their advantages and limitations.            
Methodology: conducting a review of the literature review, it identifies three main image indexing techniques, namely concept-based image indexing, content-based image indexing and folksonomy. It then describes each technique.
Findings: Concept-based image indexing is text-based. It allows users posting their query, using keywords. The and content-based image indexing is pixel-based. It allows users posting their query based oncolour, texture, shape, etc. Images have more semantic features and layers, as a resultindexing for images is more complex comparing to texts. That is why indexing a text differs from indexing an image.
Originality/value: This article reviews the conceptual framework of image indexing and retrieval and gives a comprehensive view about this sphere by collecting a relatively complete literature about it. This consolidated review can help us to get a right view about image indexing and retrieval.
 

Keywords: Image indexing, image storing and retrieval, Concept-based Image Indexing, Content-based Image Indexing, Folksonomy.

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