CUDA Accelerated Real-time Digital Image Stabilization in a Video Stream

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121642" target="_blank" >RIV/00216305:26230/16:PU121642 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sersc.org/journals/IJSEIA/vol10_no6_2016/10.pdf" target="_blank" >http://www.sersc.org/journals/IJSEIA/vol10_no6_2016/10.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.14257/ijseia.2016.10.6.10" target="_blank" >10.14257/ijseia.2016.10.6.10</a>

Jazyk výsledku

angličtina

Název v původním jazyce

CUDA Accelerated Real-time Digital Image Stabilization in a Video Stream

Popis výsledku v původním jazyce

The most important step for successful video processing in computer vision is its stabilization. Often, it is required to process high resolution video in a real-time. In this paper, a new method for a real-time digital image stabilization in a video stream is presented. This method preserves the intended camera motion and exploits computing power of GPGPU by utilizing CUDA programing interface. In order to reduce required computation power, local search windows are used for the correspondence search of consecutive video frames. These windows are further processed using Local Binary Patterns, which enables fast correlation using bitwise XOR. The experiments on video sequences from both car-mounted and hand-held camera have demonstrated the effectiveness of this method. The speed of stabilization designates this method for video preprocessing in real-time applications.

Název v anglickém jazyce

CUDA Accelerated Real-time Digital Image Stabilization in a Video Stream

Popis výsledku anglicky

The most important step for successful video processing in computer vision is its stabilization. Often, it is required to process high resolution video in a real-time. In this paper, a new method for a real-time digital image stabilization in a video stream is presented. This method preserves the intended camera motion and exploits computing power of GPGPU by utilizing CUDA programing interface. In order to reduce required computation power, local search windows are used for the correspondence search of consecutive video frames. These windows are further processed using Local Binary Patterns, which enables fast correlation using bitwise XOR. The experiments on video sequences from both car-mounted and hand-held camera have demonstrated the effectiveness of this method. The speed of stabilization designates this method for video preprocessing in real-time applications.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

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/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název periodika

International Journal of Software Engineering and Its Applications

ISSN

1738-9984

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

KR - Korejská republika

Počet stran výsledku

12

Strana od-do

113-124

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84981234332