Acceleration of Server-side Image Processing by Client-side Pre-processing in Web Application Environment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F19%3APU133026" target="_blank" >RIV/00216305:26210/19:PU133026 - isvavai.cz</a>
Alternative codes found
RIV/62156489:43110/19:43916303
Result on the web
<a href="https://ieeexplore.ieee.org/document/8769104" target="_blank" >https://ieeexplore.ieee.org/document/8769104</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2019.8768889" target="_blank" >10.1109/TSP.2019.8768889</a>

Result language
angličtina
Original language name
Acceleration of Server-side Image Processing by Client-side Pre-processing in Web Application Environment
Original language description
The goal of this paper is to verify whether the use of client-side TensorFlow.js, a WebGL-accelerated JavaScript library for machine learning, can accelerate the processing of common photos by computer vision cloud services, such as detection and recognition of specific features like age, sex, expression or specific people in the image. This acceleration is based on pre-processing the input image, namely detecting human faces, which greatly changes the amount of input data that need to be uploaded to the cloud service and thus the amount of uploaded data compared to the original photograph. The upload speed of Internet connection often is, in the case of computer vision cloud services, the bottleneck of the whole system. That´s why decreasing the amount of uploaded data in time shorter than the difference between the total of upload and cloud service processing time of the original and the pre-processed image leads to acceleration.
Czech name
—
Czech description
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Project
<a href="/en/project/VI20172020110" target="_blank" >VI20172020110: Reduction of security threats at optical networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
42nd International Conference on Telecommunications and Signal Processing (TSP 2019)
ISBN
978-1-7281-1864-2
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
127-130
Publisher name
IEEE
Place of publication
Budapešť, Hungary
Event location
Budapest, Hungary
Event date
Jul 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493442800028

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