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.
Kokabi,M , Rahimi,S , Osareh,F and Noruzi,A . (2013). An Overview on Image Indexing: A Picture is worth a Thousand Words. Research on Information Science and Public Libraries, 19(2), 257-276.
MLA
Kokabi,M , , Rahimi,S , , Osareh,F , and Noruzi,A . "An Overview on Image Indexing: A Picture is worth a Thousand Words", Research on Information Science and Public Libraries, 19, 2, 2013, 257-276.
HARVARD
Kokabi M, Rahimi S, Osareh F, Noruzi A. (2013). 'An Overview on Image Indexing: A Picture is worth a Thousand Words', Research on Information Science and Public Libraries, 19(2), pp. 257-276.
CHICAGO
M Kokabi, S Rahimi, F Osareh and A Noruzi, "An Overview on Image Indexing: A Picture is worth a Thousand Words," Research on Information Science and Public Libraries, 19 2 (2013): 257-276,
VANCOUVER
Kokabi M, Rahimi S, Osareh F, Noruzi A. An Overview on Image Indexing: A Picture is worth a Thousand Words. Research on Information Science and Public Libraries. 2013;19(2):257-276 (In Persian).
