Entropy of Video Lecture

Baltic Journal of Modern Computing 2023
Linda Alksne, Lauris Cikovskis, Andris Ozols

In this paper, the relation between video lectures Shannon and perception quality defined by number of known criteria (guidelines) of an optimal video lecture is studied. The entropy both for sound and video sub-channels are calculated using Matlab. The obtained results show that perception quality increases when the video entropy is decreased. It is also found that there is correlation between the type of the video lecture and video entropy.

Keywords
Entropy, information theory, Matlab, video lecture
DOI
10.22364/bjmc.2023.11.1.04
Hyperlink
https://www.bjmc.lu.lv/fileadmin/user_upload/lu_portal/projekti/bjmc/Contents/11_1_04_Alksne.pdf

Alksne, L., Cikovskis, L., Ozols, A. Entropy of Video Lecture. Baltic Journal of Modern Computing, 2023, Vol. 11, No. 1, pp.51-66. ISSN 2255-8942. e-ISSN 2255-8950. Available from: doi:10.22364/bjmc.2023.11.1.04

Publication language
English (en)