No-reference image quality assessment through interactive neuroevolution

Yury R. Tsoy, Vladimir G. Spitsyn, Alexander V. Chernyavsky

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

6 Цитирования (Scopus)

Аннотация

Image quality assessment is a complex problem due to subjective nature of human visual perception. One of possible ways to take into consideration user's subjectivism is to develop interactive system which could learn the properties of user's visual perception. In this paper we present a novel way to do this via interactive neuroevolution approach. The key feature of this approach is training of artificial neural network to evaluate image quality on the base of interaction with user. Obtained solutions can then be used for image quality assessment for various automated image and video processing techniques.

Язык оригиналаАнглийский
Название основной публикацииGraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings
СостояниеОпубликовано - 2007
Событие17th International Conference on Computer Graphics and Vision, GraphiCon 2007 - Moscow, Российская Федерация
Продолжительность: 23 июн 200727 июн 2007

Другое

Другое17th International Conference on Computer Graphics and Vision, GraphiCon 2007
СтранаРоссийская Федерация
ГородMoscow
Период23.6.0727.6.07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

Fingerprint Подробные сведения о темах исследования «No-reference image quality assessment through interactive neuroevolution». Вместе они формируют уникальный семантический отпечаток (fingerprint).

  • Цитировать

    Tsoy, Y. R., Spitsyn, V. G., & Chernyavsky, A. V. (2007). No-reference image quality assessment through interactive neuroevolution. В GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings