Publication detail

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

JURÁNEK, L. ŠŤASTNÝ, J. ŠKORPIL, V. JUNEK, L.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

cloud; face detection; image preprocessing; TenrFlow; WebGL

Authors

JURÁNEK, L.; ŠŤASTNÝ, J.; ŠKORPIL, V.; JUNEK, L.

Released

1. 7. 2019

Publisher

IEEE

Location

Budapešť, Hungary

ISBN

978-1-7281-1864-2

Book

42nd International Conference on Telecommunications and Signal Processing (TSP 2019)

Pages from

127

Pages to

130

Pages count

4

URL

https://ieeexplore.ieee.org/document/8769104

BibTex

@inproceedings{BUT158145,
  author="Luboš {Juránek} and Jiří {Šťastný} and Vladislav {Škorpil} and Lukáš {Junek}",
  title="Acceleration of Server-side Image Processing by Client-side Pre-processing in Web Application Environment",
  booktitle="42nd International Conference on Telecommunications and Signal Processing (TSP 2019)",
  year="2019",
  pages="127--130",
  publisher="IEEE",
  address="Budapešť, Hungary",
  doi="10.1109/TSP.2019.8768889",
  isbn="978-1-7281-1864-2",
  url="https://ieeexplore.ieee.org/document/8769104"
}