Quality Assurance in Large Collections of Video Sequences

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU117004" target="_blank" >RIV/00216305:26230/15:PU117004 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/document/7351471/?arnumber=7351471" target="_blank" >http://ieeexplore.ieee.org/document/7351471/?arnumber=7351471</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICIP.2015.7351471" target="_blank" >10.1109/ICIP.2015.7351471</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quality Assurance in Large Collections of Video Sequences

Popis výsledku v původním jazyce

In the modern digital cinema production, extremely large volumes (in order of 10s of TB) of footage data are captured every day. The process of cataloging and reviewing such footage is nowadays largely manual and time consuming process. In our work, we aim at technical quality aspects, such as correct exposure, color compatibility of adjacent shots, and focusing. The main goal is to assist the reviewing process by providing shot quality meta-data and possibly ordering or even culling significant portion of the data from the review, as better quality shot of the same scene exists. However, in order to meaningfully compare technical quality, temporal shot synchronization needs to be performed first. We propose a fast and robust method for time synchronization of video sequences, capturing similar scenes, which arise naturally in digital cinema production. The method is tested on an extensive library of sequences and its performance is evaluated. We further present a preview of application of the proposed method to detecting focusing errors.

Název v anglickém jazyce

Quality Assurance in Large Collections of Video Sequences

Popis výsledku anglicky

In the modern digital cinema production, extremely large volumes (in order of 10s of TB) of footage data are captured every day. The process of cataloging and reviewing such footage is nowadays largely manual and time consuming process. In our work, we aim at technical quality aspects, such as correct exposure, color compatibility of adjacent shots, and focusing. The main goal is to assist the reviewing process by providing shot quality meta-data and possibly ordering or even culling significant portion of the data from the review, as better quality shot of the same scene exists. However, in order to meaningfully compare technical quality, temporal shot synchronization needs to be performed first. We propose a fast and robust method for time synchronization of video sequences, capturing similar scenes, which arise naturally in digital cinema production. The method is tested on an extensive library of sequences and its performance is evaluated. We further present a preview of application of the proposed method to detecting focusing errors.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/7E13044" target="_blank" >7E13044: IMPART - Intelligent Management Platform for Advanced Real-Time media processes</a><br>

Návaznosti

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

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings - International Conference on Image Processing, ICIP

ISBN

978-1-4799-8339-1

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

3580-3584

Název nakladatele

IEEE Computer Society Press

Místo vydání

Québec

Místo konání akce

Québec

Datum konání akce

27. 9. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000371977803143