An investigation of a new social networks contact suggestion based on face recognition algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F16%3A86100355" target="_blank" >RIV/61989100:27740/16:86100355 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/16:86100355

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

An investigation of a new social networks contact suggestion based on face recognition algorithm

Popis výsledku v původním jazyce

Automated comparison of faces in the photographs is a well established discipline. The main aim of this paper is to describe an approach whereby face recognition can be used in suggestion of a new contacts. The new contact suggestion is a common technique used across all main social networks. Our approach uses a freely available face comparison called 'Betaface' together with our automated processig of the user's Facebook profile. The research's main point of interest is the comparison of friend's facial images in a social network itself, how to process such a great amount of photos and what additional sources of data should be used. In this approach we used our automated processing algorithm Betaface in the social network Facebook and for the additional data, the Flickr social network was used. The results and their quality are discussed at the end. (C) 2016 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING.

Název v anglickém jazyce

An investigation of a new social networks contact suggestion based on face recognition algorithm

Popis výsledku anglicky

Automated comparison of faces in the photographs is a well established discipline. The main aim of this paper is to describe an approach whereby face recognition can be used in suggestion of a new contacts. The new contact suggestion is a common technique used across all main social networks. Our approach uses a freely available face comparison called 'Betaface' together with our automated processig of the user's Facebook profile. The research's main point of interest is the comparison of friend's facial images in a social network itself, how to process such a great amount of photos and what additional sources of data should be used. In this approach we used our automated processing algorithm Betaface in the social network Facebook and for the additional data, the Flickr social network was used. The results and their quality are discussed at the end. (C) 2016 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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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

2016

Kód důvěrnosti údajů

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

Název periodika

Advances in Electrical and Electronic Engineering

ISSN

1336-1376

e-ISSN

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Svazek periodika

14

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

12

Strana od-do

591-601

Kód UT WoS článku

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EID výsledku v databázi Scopus

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