Молимо вас користите овај идентификатор за цитирање или овај линк до ове ставке:
https://open.uns.ac.rs/handle/123456789/8113
Назив: | Dynamic texture recognition based on compression artifacts | Аутори: | Ćulibrk, Dubravko Mancas M. Crnojević, Vladimir |
Датум издавања: | 1-дец-2013 | Часопис: | Studies in Fuzziness and Soft Computing | Сажетак: | The paper proposes a novel approach to the classification of compressed videos containing dynamic textures. The term dynamic texture is usually used with reference to image sequences of various natural processes that exhibit stochastic dynamics (e.g., water, fire and windblown vegetation). Description and recognition of dynamic textures have attracted growing attention. Although one of the most important prospective applications of the technology is content-based video retrieval, recognition of dynamic textures for compressed video has not been considered. The content of video and dynamic textures in particular, profoundly affect the performance of video compression algorithms. The prominence of compression artifacts can, therefore, be used to recognize dynamic textures in compressed videos. In the paper, we show how features, previously proposed for quality assessment, statistical analysis and a soft computing technique (neural networks) can be used to discern 23 different classes of dynamic textures in a standard video database, with 99.5% accuracy. © Springer-Verlag 2013. | URI: | https://open.uns.ac.rs/handle/123456789/8113 | ISSN: | 14349922 | DOI: | 10.1007/978-3-642-30278-7_20 |
Налази се у колекцијама: | FTN Publikacije/Publications |
Приказати целокупан запис ставки
SCOPUSTM
Навођења
1
проверено 20.11.2023.
Преглед/и станица
44
Протекла недеља
22
22
Протекли месец
0
0
проверено 03.05.2024.
Google ScholarTM
Проверите
Алт метрика
Ставке на DSpace-у су заштићене ауторским правима, са свим правима задржаним, осим ако није другачије назначено.