XQM: Interactive Learning on Mobile Phones

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00354126" target="_blank" >RIV/68407700:21730/21:00354126 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-67835-7_24" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-67835-7_24</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-67835-7_24" target="_blank" >10.1007/978-3-030-67835-7_24</a>

Jazyk výsledku

angličtina

Název v původním jazyce

XQM: Interactive Learning on Mobile Phones

Popis výsledku v původním jazyce

There is an increasing need for intelligent interaction with media collections, and mobile phones are gaining significant traction as the device of choice for many users. In this paper, we present XQM, a mobile approach for intelligent interaction with the user’s media on the phone, tackling the inherent challenges of the highly dynamic nature of mobile media collections and limited computational resources of the mobile device. We employ interactive learning, a method that conducts interaction rounds with the user, each consisting of the system suggesting relevant images based on its current model, the user providing relevance labels, the system’s model retraining itself based on these labels, and the system obtaining a new set of suggestions for the next round. This method is suitable for the dynamic nature of mobile media collections and the limited computational resources. We show that XQM, a full-fledged app implemented for Android, operates on 10K image collections in interactive time (less than 1.4 s per interaction round), and evaluate user experience in a user study that confirms XQM’s effectiveness.

Název v anglickém jazyce

XQM: Interactive Learning on Mobile Phones

Popis výsledku anglicky

There is an increasing need for intelligent interaction with media collections, and mobile phones are gaining significant traction as the device of choice for many users. In this paper, we present XQM, a mobile approach for intelligent interaction with the user’s media on the phone, tackling the inherent challenges of the highly dynamic nature of mobile media collections and limited computational resources of the mobile device. We employ interactive learning, a method that conducts interaction rounds with the user, each consisting of the system suggesting relevant images based on its current model, the user providing relevance labels, the system’s model retraining itself based on these labels, and the system obtaining a new set of suggestions for the next round. This method is suitable for the dynamic nature of mobile media collections and the limited computational resources. We show that XQM, a full-fledged app implemented for Android, operates on 10K image collections in interactive time (less than 1.4 s per interaction round), and evaluate user experience in a user study that confirms XQM’s effectiveness.

Druh

D - Stať ve sborníku

CEP obor

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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/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotika pro Průmysl 4.0</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

MultiMedia Modeling

ISBN

978-3-030-67834-0

ISSN

0302-9743

e-ISSN

0302-9743

Počet stran výsledku

13

Strana od-do

281-293

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Praha

Datum konání akce

22. 6. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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