Szczegóły publikacji
Opis bibliograficzny
Survey on the state-of-the-art methods for objective video quality assessment in recognition tasks / Kamil Kawa, Mikołaj LESZCZUK, Atanas Boev // W: Multimedia Communications, Services and Security : 10th international conference, MCSS 2020 : Kraków, Poland, October 8–9, 2020 : proceedings. — Cham : Springer Nature Switzerland, cop. 2020. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; vol. 1284). — ISBN: 978-3-030-58999-8; e-ISBN: 978-3-030-59000-0. — s. 332-350. — Bibliogr. s. 348-350, Abstr. — Publikacja dostępna online od: 2020-09-24
Autorzy (3)
- AGHKawa Kamil
- AGHLeszczuk Mikołaj
- Boev Atanas
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 130770 |
|---|---|
| Data dodania do BaDAP | 2020-11-10 |
| DOI | 10.1007/978-3-030-59000-0_25 |
| Rok publikacji | 2020 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
This paper is a technical report, presenting a survey on the state-of-the-art methods for objective video quality assessment in recognition tasks. It bases on the most up-to-date solutions, developed by various research teams. The study considers, among others, solutions developed by the AGH University research team, including the contributions to ITU-T Recommendation P.912 (dealing with video quality assessment methods for recognition tasks) as well as the video quality indicators (available at http://vq.kt.agh.edu.pl/). In particular, we consider evaluation metrics based on a trade-off between computer vision performance and compression efficiency. © Springer Nature Switzerland AG 2020.
