Autor: Kurasova, Olga - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Image classification for jpeg compression
Autorzy:: Tichonov, Jevgenij
Kurasova, Olga
Filatovas, Ernestas
Powiązania:: https://bibliotekanauki.pl/articles/103336.pdf
Data publikacji:: 2018
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: Image quality
image classification
JPEG algorithm
storage of images
quality prediction
SSIM
PSNR
jakość obrazu
klasyfikacja obrazu
algorytm JPEG
przechowywanie obrazów
prognozowanie jakości
Opis:: We analyse storage problems of digital images in accordance with image quality and image compression efficiency. Storage problems are relevant for Cloud storage and file hosting services, online file storage providers, social networks, etc. In this paper, an approach is proposed to process a group of images with a JPEG algorithm that all the processed images satisfy the minimum threshold of quality with the automatic selection of the quality factor (QF). The experimental investigation reveals advantages of the compression efficiency of the proposed approach over the traditional JPEG algorithm. The proposed approach enables saving storage spaces while maintaining the desirable image quality.
Źródło:: Advances in Science and Technology. Research Journal; 2018, 12, 2; 29-34
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Comparison of Lithuanian and Polish Consonant Phonemes Based on Acoustic Analysis – Preliminary Results
Autorzy:: Korvel, Gražina
Kurasova, Olga
Kostek, Bożena
Powiązania:: https://bibliotekanauki.pl/articles/177441.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: acoustic analysis
consonant phonemes
acoustic parameters
machine learning methods
Opis:: The goal of this research is to find a set of acoustic parameters that are related to differences between Polish and Lithuanian language consonants. In order to identify these differences, an acoustic analysis is performed, and the phoneme sounds are described as the vectors of acoustic parameters. Parameters known from the speech domain as well as those from the music information retrieval area are employed. These parameters are time- and frequency-domain descriptors. English language as an auxiliary language is used in the experiments. In the first part of the experiments, an analysis of Lithuanian and Polish language samples is carried out, features are extracted, and the most discriminating ones are determined. In the second part of the experiments, automatic classification of Lithuanian/English, Polish/English, and Lithuanian/Polish phonemes is performed.
Źródło:: Archives of Acoustics; 2019, 44, 4; 693-707
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

Artykuł

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