UTILIZING NEW LOSSY IMAGE COMPRESSION METHODS IN E-LEARNING SYSTEMS

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

UTILIZING NEW LOSSY IMAGE COMPRESSION METHODS IN E-LEARNING SYSTEMS

Popis výsledku v původním jazyce

Current e-learning systems use large amounts of multimedia data for the presentation of educational content. An important part is image data. Reducing the memory demands of image data will lower network load and increase the speed of the system. It is now particularly important in the case of m-learning when users often access to educational content via a slow data network. The article introduces a new compression algorithms and methods that can be used to reduce memory demands visual materials in e-learning systems. The described methods significantly reduce image data (and thus increase the speed of data transfer and provides a smaller network load), while the reduction in image quality is minimal. The paper presents the results of comparative analysis finding the best data volume reduction method of images used in e-learning materials. Within the comparative analysis a visual quality of compressed image determined by subjective perception of users depending on size of images compression was evaluated.

Název v anglickém jazyce

UTILIZING NEW LOSSY IMAGE COMPRESSION METHODS IN E-LEARNING SYSTEMS

Popis výsledku anglicky

Current e-learning systems use large amounts of multimedia data for the presentation of educational content. An important part is image data. Reducing the memory demands of image data will lower network load and increase the speed of the system. It is now particularly important in the case of m-learning when users often access to educational content via a slow data network. The article introduces a new compression algorithms and methods that can be used to reduce memory demands visual materials in e-learning systems. The described methods significantly reduce image data (and thus increase the speed of data transfer and provides a smaller network load), while the reduction in image quality is minimal. The paper presents the results of comparative analysis finding the best data volume reduction method of images used in e-learning materials. Within the comparative analysis a visual quality of compressed image determined by subjective perception of users depending on size of images compression was evaluated.

Druh

D - Stať ve sborníku

CEP obor

AM - Pedagogika a školství

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

International conference of education, research and innovation (ICERI 2016)

ISBN

978-84-617-5895-1

ISSN

2340-1095

e-ISSN

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Počet stran výsledku

7

Strana od-do

2863-2869

Název nakladatele

IATED

Místo vydání

Valencia

Místo konání akce

Sevilla

Datum konání akce

14. 11. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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