XQM: Interactive Learning on Mobile Phones

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

XQM: Interactive Learning on Mobile Phones

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>

Continuities

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

Publication year

2021

Confidentiality

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

Article name in the collection

MultiMedia Modeling

ISBN

978-3-030-67834-0

ISSN

0302-9743

e-ISSN

0302-9743

Number of pages

13

Pages from-to

281-293

Publisher name

Springer

Place of publication

Cham

Event location

Praha

Event date

Jun 22, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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