A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F17%3A63517243" target="_blank" >RIV/70883521:28140/17:63517243 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.matec-conferences.org/articles/matecconf/pdf/2017/39/matecconf_cscc2017_02067.pdf" target="_blank" >https://www.matec-conferences.org/articles/matecconf/pdf/2017/39/matecconf_cscc2017_02067.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/matecconf/20171250" target="_blank" >10.1051/matecconf/20171250</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API

Popis výsledku v původním jazyce

Emotions represent feelings about people in several situations. Various machine learning algorithms have been developed for emotion detection in a multimedia element, such as an image or a video. These techniques can be measured by comparing their accuracy with a given dataset in order to determine which algorithm can be selected among others. This paper deals with the comparison of two implementations of emotion recognition in faces, each implemented with specific technology. OpenCV is an open-source library of functions and packages mostly used for computer-vision analysis and applications. Cognitive services is a set of APIs containing artificial intelligence algorithms for computer-vision, speech, knowledge, and language processing. Two Android mobile applications were developed in order to test the performance between an OpenCV algorithm for emotion recognition and an implementation of Emotion cognitive service. For this research, one thousand tests were carried out per experiment. Our findings show that the OpenCV implementation got a better performance than the Cognitive services application. In both cases, performance can be improved by increasing the sample size per emotion during the training step.

Název v anglickém jazyce

A performance comparison of two emotion-recognition implementations using OpenCV and Cognitive Services API

Popis výsledku anglicky

Emotions represent feelings about people in several situations. Various machine learning algorithms have been developed for emotion detection in a multimedia element, such as an image or a video. These techniques can be measured by comparing their accuracy with a given dataset in order to determine which algorithm can be selected among others. This paper deals with the comparison of two implementations of emotion recognition in faces, each implemented with specific technology. OpenCV is an open-source library of functions and packages mostly used for computer-vision analysis and applications. Cognitive services is a set of APIs containing artificial intelligence algorithms for computer-vision, speech, knowledge, and language processing. Two Android mobile applications were developed in order to test the performance between an OpenCV algorithm for emotion recognition and an implementation of Emotion cognitive service. For this research, one thousand tests were carried out per experiment. Our findings show that the OpenCV implementation got a better performance than the Cognitive services application. In both cases, performance can be improved by increasing the sample size per emotion during the training step.

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

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

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

MATEC Web of Conferences

ISBN

—

ISSN

2261-236X

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

"nestrankovano"

Název nakladatele

EDP Sciences

Místo vydání

Les Ulis

Místo konání akce

Heraklion, Crete

Datum konání akce

14. 7. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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