Video Quality Estimation for Mobile H.264/AVC Video Streaming

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F08%3APU94807" target="_blank" >RIV/00216305:26220/08:PU94807 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Video Quality Estimation for Mobile H.264/AVC Video Streaming

Popis výsledku v původním jazyce

The scope of this paper is the estimation of subjective video quality for low-resolution video sequences as they are typical for mobile video streaming. Although the video quality experienced by users depends on spatial (edges, colors, ...) and more considerably on temporal (movement speed, direction, ...) features of the video sequence, most of the well-known methods are based on spatial features. This paper presents a new reference-free approach for quality estimation based on motion characteristics.The character of motion is determined by the amount and direction of the motion between two scene changes. In this paper, two methods are presented. The first method, presents the design of a quality metric based on content adaptive parameters, allowingfor content dependent video quality estimation. The second method estimates video quality in two steps. Firstly, the content classification with character sensitive parameters is carried out. Finally, based on the content class, frame rat

Název v anglickém jazyce

Video Quality Estimation for Mobile H.264/AVC Video Streaming

Popis výsledku anglicky

The scope of this paper is the estimation of subjective video quality for low-resolution video sequences as they are typical for mobile video streaming. Although the video quality experienced by users depends on spatial (edges, colors, ...) and more considerably on temporal (movement speed, direction, ...) features of the video sequence, most of the well-known methods are based on spatial features. This paper presents a new reference-free approach for quality estimation based on motion characteristics.The character of motion is determined by the amount and direction of the motion between two scene changes. In this paper, two methods are presented. The first method, presents the design of a quality metric based on content adaptive parameters, allowingfor content dependent video quality estimation. The second method estimates video quality in two steps. Firstly, the content classification with character sensitive parameters is carried out. Finally, based on the content class, frame rat

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2008

Kód důvěrnosti údajů

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

Název periodika

Journal of Communications

ISSN

1796-2021

e-ISSN

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Svazek periodika

2008

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

41-50

Kód UT WoS článku

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EID výsledku v databázi Scopus

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