Image Visual Similarity Based on High Level Features of Convolutional Neural Networks

Aghasi S. Poghosyan; Hakob G. Sarukhanyan

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Title: Image Visual Similarity Based on High Level Features of Convolutional Neural Networks

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ISSN:

0131-4645

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Պատկերների տեսողական նմանությունը հիմնված փաթույթային նեյրոնային ցանցերի բարձր կարգի հատկությունների վրա; Визуальная схожесть изображений, основанная на свойствах высшего уровня конволюционных нейпонных сетей

Coverage:

138-142

Abstract:

Nowadays, the task of similar content retrieval is one of the central topics of interest in academic and industrial worlds. There are numerous techniques that are both deal- ing good with structured data and unstructured such as texts, respectively. However, in this paper we present a technique for retrieval of similar image content. We embed images to N dimensional feature space using convolutional neural networks and perform the nearest neighbor search afterwards.

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Изд-во НАН РА

Date created:

2016-03-03

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pdf

Identifier:

oai:arar.sci.am:258879

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ՀՀ ԳԱԱ Հիմնարար գիտական գրադարան

Subject and keywords:

Mathematics Computer software Image retrieval Convolutional neural networks Distance metrics

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Digital Library > Articles

Last modified:

Aug 18, 2025

In our library since:

Jul 24, 2020

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https://arar.sci.am/publication/282006

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ՀՀ ԳԱԱ Շարունակական հրատարակություններ

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Image Visual Similarity Based on High Level Features of Convolutional Neural Networks	Aug 18, 2025

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Title: Image Visual Similarity Based on High Level Features of Convolutional Neural Networks

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