3D Visual Content Datasets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00322474" target="_blank" >RIV/68407700:21230/19:00322474 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-319-77842-6_11" target="_blank" >https://doi.org/10.1007/978-3-319-77842-6_11</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-77842-6_11" target="_blank" >10.1007/978-3-319-77842-6_11</a>

Jazyk výsledku

angličtina

Název v původním jazyce

3D Visual Content Datasets

Popis výsledku v původním jazyce

Development and performance evaluation of efficient methods for coding, transmission, and quality assessment of 3D visual content require rich datasets of a suitable test material. The use of these databases allows a fair comparison of systems under test. Moreover, publicly available and widely used datasets are crucial for experimentation leading to reproducible research. This chapter presents an overview of 3D visual content datasets relevant to research in the field of coding, transmission, and quality assessment. Description of regular stereoscopic or multiview image and video datasets is presented. Databases created using emerging technologies, including light-field imaging, are also addressed. Moreover, there are databases of multimedia content annotated with ratings from the subjective experiment, which are a necessary resource for understanding the complex problem of quality of experience while consuming the 3D visual content.

Název v anglickém jazyce

3D Visual Content Datasets

Popis výsledku anglicky

Development and performance evaluation of efficient methods for coding, transmission, and quality assessment of 3D visual content require rich datasets of a suitable test material. The use of these databases allows a fair comparison of systems under test. Moreover, publicly available and widely used datasets are crucial for experimentation leading to reproducible research. This chapter presents an overview of 3D visual content datasets relevant to research in the field of coding, transmission, and quality assessment. Description of regular stereoscopic or multiview image and video datasets is presented. Databases created using emerging technologies, including light-field imaging, are also addressed. Moreover, there are databases of multimedia content annotated with ratings from the subjective experiment, which are a necessary resource for understanding the complex problem of quality of experience while consuming the 3D visual content.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LD12018" target="_blank" >LD12018: Modelování a ověřování metod hodnocení Quality of Experience (QoE) v multimediálních systémech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

3D Visual Content Creation, Coding and Delivery

ISBN

978-3-319-77842-6

Počet stran výsledku

27

Strana od-do

299-325

Počet stran knihy

325

Název nakladatele

Springer International Publishing AG

Místo vydání

Cham

Kód UT WoS kapitoly

—