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. & 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., & 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
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, 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).
