Video Camera Latency Analysis and Measurement

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F20%3A10133282" target="_blank" >RIV/63839172:_____/20:10133282 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/TCSVT.2020.2978057" target="_blank" >https://doi.org/10.1109/TCSVT.2020.2978057</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TCSVT.2020.2978057" target="_blank" >10.1109/TCSVT.2020.2978057</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Video Camera Latency Analysis and Measurement

Popis výsledku v původním jazyce

All modern video cameras exhibit some latency between the scene being captured and the output video signal. This camera latency is significant to the overall latency of a video network transmission chain. Some real-time applications based on video sharing require very low latency and selecting the right camera is then crucial. We observed how video cameras operate regarding their latency. We proposed three methods to measure camera latency: timecode view, waveform shift, and screen photodetector methods. All methods can achieve a subframe resolution and precision of approximately~1~ms although with varying levels of automation, convenience and suitability for particular cameras. We discuss arrangements that affect measurement precision. We applied the proposed methods to a sample camera, and we show measurements results for several other cameras. The measurement results showed that the fastest cameras provide latencies lower than 5~ms, which should be fast enough even for demanding real-time applications. However, most cameras still exhibit latencies at the range of 1---3 video frames.

Název v anglickém jazyce

Video Camera Latency Analysis and Measurement

Popis výsledku anglicky

All modern video cameras exhibit some latency between the scene being captured and the output video signal. This camera latency is significant to the overall latency of a video network transmission chain. Some real-time applications based on video sharing require very low latency and selecting the right camera is then crucial. We observed how video cameras operate regarding their latency. We proposed three methods to measure camera latency: timecode view, waveform shift, and screen photodetector methods. All methods can achieve a subframe resolution and precision of approximately~1~ms although with varying levels of automation, convenience and suitability for particular cameras. We discuss arrangements that affect measurement precision. We applied the proposed methods to a sample camera, and we show measurements results for several other cameras. The measurement results showed that the fastest cameras provide latencies lower than 5~ms, which should be fast enough even for demanding real-time applications. However, most cameras still exhibit latencies at the range of 1---3 video frames.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20206 - Computer hardware and architecture

Projekt

<a href="/cs/project/EF16_013%2F0001797" target="_blank" >EF16_013/0001797: E-infrastruktura CESNET - modernizace</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Circuits and Systems for Video Technology

ISSN

1051-8215

e-ISSN

—

Svazek periodika

31

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

140-147

Kód UT WoS článku

000607384300012

EID výsledku v databázi Scopus

2-s2.0-85099375282