Publication
Title
Feature extraction and statistical analysis of videos for cinemetric applications
Author
Abstract
In this paper, we describe a framework for the extraction of low-level and high level information from movies in order to be used for cinemetric applications. The developed framework analyses the available video content and extracts characteristics related to color, motion, contrast, shot length, tempo, face to frame ratios etc. The extracted information is stored in MPEG 7 AVDP profile format, which is a standard description format that can be imported to related cinemetric applications. We applied the developed framework in a collection of downloaded videos, as well as 3 stereoscopic movies.
Language
English
Source (book)
2016 Digital Media Industry & Academic Forum (DMIAF), 04-06 July, 2016, Santorini, Greece
Publication
New york : 2016
ISBN
978-1-5090-1000-4
DOI
10.1109/DMIAF.2016.7574926
Volume/pages
(2016) , p. 172-175
ISI
000390420600037
Full text (Publisher's DOI)
UAntwerpen
Publication type
Subject
External links
Web of Science
Record
Identifier
Creation 17.10.2023
Last edited 17.06.2024
To cite this reference