UTILIZING NEW LOSSY IMAGE COMPRESSION METHODS IN E-LEARNING SYSTEMS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F16%3A50005325" target="_blank" >RIV/62690094:18470/16:50005325 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
UTILIZING NEW LOSSY IMAGE COMPRESSION METHODS IN E-LEARNING SYSTEMS
Original language description
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.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International conference of education, research and innovation (ICERI 2016)
ISBN
978-84-617-5895-1
ISSN
2340-1095
e-ISSN
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Number of pages
7
Pages from-to
2863-2869
Publisher name
IATED
Place of publication
Valencia
Event location
Sevilla
Event date
Nov 14, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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