Pregled bibliografske jedinice broj: 1035776
Departure from reality – why and how to measure visual activity of digital video content
Departure from reality – why and how to measure visual activity of digital video content // THE PICTURESQUE: Visual Pleasure and Intermediality in-between Contemporary Cinema, Art and Digital Culture
Cluj - Napoca: Sapientia Hungarian University of Transylvania, 2019. str. 48-48 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1035776 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Departure from reality – why and how to measure visual activity of digital video content
Autori
Đokić, Kristian
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
THE PICTURESQUE: Visual Pleasure and Intermediality in-between Contemporary Cinema, Art and Digital Culture
/ - Cluj - Napoca : Sapientia Hungarian University of Transylvania, 2019, 48-48
Skup
THE PICTURESQUE: Visual Pleasure and Intermediality in-between Contemporary Cinema, Art and Digital Culture
Mjesto i datum
Cluj-Napoca, Rumunjska, 25.10.2019. - 26.10.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Visual Activity Index, background subtraction algorithms, visual activity
Sažetak
Technology development causes an ever greater difference between reality and the content of available digital videos. This difference is evident because digital video content no longer has to be real in digital media ; it can be made with a computer. Another difference is in the amount of visual activity and this paper deals with it. Different authors point to the growth of visual activity in films and media over the last few decades, while some authors point to the negative consequences of this phenomenon. The growth of visual activity is primarily noticeable when the length of films and video shots are analyzed. Author Cutting proposed more comprehensively measure for a visual activity called Visual Activity Index (VAI). This paper proposed a more advanced measure for visual activity in videos, and there is a strong correlation between Cuttings VAI and the proposed measure called Background Subtraction Visual Activity Index (BGSVAI). The strong correlation suggests that both indices measure the same phenomenon. The proposed measure is based on algorithms for background subtraction, which are the category of computer vision algorithms. Most background subtraction algorithms are insensitive to noise in videos, so BGSVAI method inherits that attribute. In this paper, VAI and BGSVAI were compared, and it was observed that BGSVAI was less susceptible to noise in videos than VAI.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti, Filmska umjetnost (filmske, elektroničke i medijske umjetnosti pokretnih slika)
