A Multilayered Complex Network Model for Image Retrieval

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Shakibian Hadi; MOGHADAM CHARKARI NASROLLAH

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Journal Paper

Paper Information

Journal: International Journal of Information and Communication Technology Research Year:2021 | Volume:13 | Issue:4 Page(s): 36-42

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Title

A Multilayered Complex Network Model for Image Retrieval

Author(s)

Shakibian Hadi | MOGHADAM CHARKARI NASROLLAH | Issue Writer Certificate

Keywords

Component

Content based Image Retreival

Complex Networks

Meta-Path

Abstract

In this study, an image retrieval system is proposed based on complex network model. Assuming a prior image categorization, firstly, a multilayered complex network is constructed between the images of each category according to the color, texture, and shape features. Secondly, by defining a Meta-Path as the way of connecting two images in the network, a set of informative Meta-Paths are composed to find the similar images by exploring the network. The established complex network provides an efficient way to benefit from the image correlations to enhance the similarity search of the images. On the other hand, employing diverse Meta-Paths with different semantics leads to measuring the image similarities based on effective image features for each category. The primary results indicate the efficiency and validity of the proposed approach.

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APA: Copy

Shakibian, Hadi, & MOGHADAM CHARKARI, NASROLLAH. (2021). A Multilayered Complex Network Model for Image Retrieval. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, 13(4), 36-42. SID. https://sid.ir/paper/969853/en

Vancouver: Copy

Shakibian Hadi, MOGHADAM CHARKARI NASROLLAH. A Multilayered Complex Network Model for Image Retrieval. INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH[Internet]. 2021;13(4):36-42. Available from: https://sid.ir/paper/969853/en

IEEE: Copy

Hadi Shakibian, and NASROLLAH MOGHADAM CHARKARI, “A Multilayered Complex Network Model for Image Retrieval,” INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY RESEARCH, vol. 13, no. 4, pp. 36–42, 2021, [Online]. Available: https://sid.ir/paper/969853/en

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