Evaluation of privacy in high dynamic range video sequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00222253" target="_blank" >RIV/68407700:21230/14:00222253 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1117/12.2065559" target="_blank" >http://dx.doi.org/10.1117/12.2065559</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1117/12.2065559" target="_blank" >10.1117/12.2065559</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of privacy in high dynamic range video sequences

Popis výsledku v původním jazyce

The ability of high dynamic range (HDR) to capture details in environments with high contrast has a significant impact on privacy in video surveillance. However, the extent to which HDR imaging affects privacy, when compared to a typical low dynamic range (LDR) imaging, is neither well studied nor well understood. To achieve such an objective, a suitable dataset of images and video sequences is needed. Therefore, we have created a publicly available dataset of HDR video for privacy evaluation PEViD-HDR,which is an HDR extension of an existing Privacy Evaluation Video Dataset (PEViD). PEViD-HDR video dataset can help in the evaluations of privacy protection tools, as well as for showing the importance of HDR imaging in video surveillance applications and its influence on the privacy-intelligibility trade-off. We conducted a preliminary subjective experiment demonstrating the usability of the created dataset for evaluation of privacy issues in video. The results confirm that a tone-mapp

Název v anglickém jazyce

Evaluation of privacy in high dynamic range video sequences

Popis výsledku anglicky

The ability of high dynamic range (HDR) to capture details in environments with high contrast has a significant impact on privacy in video surveillance. However, the extent to which HDR imaging affects privacy, when compared to a typical low dynamic range (LDR) imaging, is neither well studied nor well understood. To achieve such an objective, a suitable dataset of images and video sequences is needed. Therefore, we have created a publicly available dataset of HDR video for privacy evaluation PEViD-HDR,which is an HDR extension of an existing Privacy Evaluation Video Dataset (PEViD). PEViD-HDR video dataset can help in the evaluations of privacy protection tools, as well as for showing the importance of HDR imaging in video surveillance applications and its influence on the privacy-intelligibility trade-off. We conducted a preliminary subjective experiment demonstrating the usability of the created dataset for evaluation of privacy issues in video. The results confirm that a tone-mapp

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Applications of Digital Image Processing XXXVII

ISBN

978-1-62841-244-4

ISSN

0277-786X

e-ISSN

—

Počet stran výsledku

13

Strana od-do

"92170E-1"-"92170E-13"

Název nakladatele

SPIE

Místo vydání

Bellingham

Místo konání akce

San Diego, California

Datum konání akce

17. 8. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000344014100012