DATA PROCESSING AND ANALYSIS
В.П. Фраленко, Р.Е. Суворов, Р.И. Овчаренко, И.А. Тихомиров "Автоматическая классификация изображений в задачах фильтрации контента"
SOFTWARE ENGINEERING
MATHEMATICAL MODELING
APPLIED ASPECTS OF COMPUTER SCIENCE
В.П. Фраленко, Р.Е. Суворов, Р.И. Овчаренко, И.А. Тихомиров "Автоматическая классификация изображений в задачах фильтрации контента"

Аннотация.

В статье представлен обзор методов классификации изображений для решения задач фильтрации содержимого сети Интернет и приведены результаты экспериментов по классификации изображений при помощи сверточных нейронных сетей и метода мешка визуальных слов. Для экспериментов сформирована искусственно усложненная выборка, составленная из слабоотличимых изображений. Подтверждены высокие показатели качества классификации изображений при помощи сверточных нейронных сетей по сравнению с классическими методами, особенно в усложненных условиях эксперимента. Сделаны выводы о перспективности описанных методов и подходов, а также об их применимости для решения задач фильтрации контента.

Ключевые слова:

сверточные нейронные сети, искусственные нейронные сети, мешок визуальных слов, классификация изображений, фильтрация контента, динамическая контентная фильтрация.

Стр. 3-12.

V.P. Fralenko, R.E. Suvorov, R.I. Ovcharenko, I.A. Tikhomirov

"Automatic Image Classification for Content Filtering"

The paper presents a survey of methods for image classification in the context of Web content filtering, as well as results of new experiments using convolutional neural networks and SVM with bag-of-visual-words. Within the experiments, a special difficult dataset was collected that consisting of two hardly distinguishable classes. The quality achieved using convolutional neural network is higher than that of traditional methods in the complicated conditions. Thus, the classifier based on convolutional neural networks proved to be very useful for purposes of Web content filtering.

Keywords: convolutional neural networks, artificial neural networks, bag of visual words, image classification, content filtering, dynamic content filtering. 

 Полная версия статьи в формате pdf.

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