Automatic image annotation based on low-level features and classification of the statistical classes

A. Bronevich; Melnichenko A. S.

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Automatic image annotation based on low-level features and classification of the statistical classes

P. 314–321.

Bronevich A., Melnichenko A. S.

In this paper we consider the problem of automatic image annotation by the set of keywords that allows us to search images in great data bases by a textual inquiry. We consider also the general scheme of classification based on low-level features and global features presented as statistical classes. With the help of the statistical classes classification based on inclusion measures we get the secondary features that provide the final classification giving us the required annotations.

Language: English

Full text

Keywords: automatic image annotation low-level features statistical classes inclusion measure автоматическая аннотация изображений низкоуровневые признаки статистические классы мера включения

In book

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings

Vol. 6743. , Berlin, Heidelberg: Springer, 2011.

Automatic image annotation with low-level features and conditional random fields

Bronevich A.G., Melnichenko A. S., , in: IC3K 2013; KDIR 2013 - 5th International Conference on Knowledge Discovery and Information Retrieval and KMIS 2013 - 5th International Conference on Knowledge Management and Information Sharing, Proc. Vilamoura, Algarve; Portugal; 19 -22 September.: Setúbal: SciTePress, 2013. P. 197–201.

This work is devoted to the problem of automatic image annotation by analyzing image low-level characteristics. This problem consists in assigning words of a natural language to an arbitrary image by analyzing image low-level characteristics without any other additional information. Automatic image annotation could be useful for extraction of high-level semantic information from images, organizing ...

Added: October 17, 2016

Advances in Reasoning-Based Image Processing Intelligent Systems: Conventional and Intelligent Paradigms, Series on Intelligent Systems Reference Library

Heidelberg: Springer, 2012.

We describe a novel method for the analysis of research activities of an organization by mapping that to a taxonomy tree of the field. The method constructs fuzzy membership profiles of the organizationmembers or teams in terms of the taxonomy’s leaves (research topics), and then it generalizes them in two steps. These steps are: (i) ...

Added: October 29, 2013

Автоматическая аннотация изображений на основе классификации статистических классов

Bronevich A., Мельниченко А. С., Нечеткие системы и мягкие вычисления 2011 Т. 6 № 1 С. 31–42

В данной работе рассматривается проблема автоматического аннотирования изображений набором ключевых слов, что позволяет осуществлять поиск изображений в больших коллекциях по текстовому запросу. Рассматривается общая схема аннотации с использованием глобальных низкоуровневых признаков изображений, представляемых как статистические классы. С помощью процедуры классификации статистических классов, основанной на предлагаемой мере включения, производится построение вторичных информативных признаков изображений, по которым ...

Added: March 2, 2013