A Multilayered Complex Network Model for Image Retrieval
Publish place: International Journal of Information and Communication Technology Research (IJICT، Vol: 13، Issue: 4
Publish Year: 1400
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ITRC-13-4_005
تاریخ نمایه سازی: 22 فروردین 1401
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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Authors
Hadi i Shakibian
Department of Computer Engineering Faculty of Engineering, Alzahra University Tehran, Iran
Nasrollah Moghadam Charkari
Faculty of Electrical and Computer Engineering Tarbiat Modares University Tehran, Iran