About the journal

• Home page
• Contact information
• Aims and scope
• Indexing information
• Editorial policies
• ComSIS consortium
• Journal boards
• Managing board

For authors

• Information for contributors
• Paper submission
• Article submission through OJS
• Copyright transfer form
• Download section

For readers

• Forthcoming articles
• Current issue
• Archive

For reviewers

• View and review submissions

News

• Journal's Facebook page
• Calls for special issues
• New issue notification

The Duration Threshold of Video Content Observation: An Experimental Investigation of Visual Perception efficiency

Jianping Song¹, Tianran Tang² and Guosheng Hu³

1. School of Art and Design, Zhejiang A&F University,
   Hangzhou 311300, China
2. Department of Computer Engineering, Dongguan Polytechnic,
   Dongguan 523808, China
3. Design Innovation Center, China Academy of Art,
   Hangzhou 310002, China
   huguosheng@msn.com

Abstract

Visual perception principle of watching video is crucial in ensuring video works accurately and effectively grasped by audience. This article proposes an investigation into the efficiency of human visual perception on video clips considering exposure duration. The study focused on the correlation between the video shot duration and the subject's perception of visual content. The subjects' performances were captured as perceptual scores on the testing videos by watching time-regulated clips and taking questionnaire. The statistical results show that three-second duration for each video shot is necessary for audience to grasp the main visual information. The data also indicate gender differences in perceptual procedure and attention focus. The findings can help for manipulating clip length in video editing, both via AI tools and manually, maintaining perception efficiency as possible in limited duration. This method is significant for its structured experiment involving subjects' quantified performances, which is different from AI methods of unaccountable.

Key words

Video Editing, Human Visual System, Perceived Efficiency, Footage Duration, Video Information

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS220919017S

Publication information

Volume 20, Issue 2 (April 2023)
Special Issue on Machine Learning-based Decision Support Systems in IoT systems
Year of Publication: 2023
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

Full text

Available in PDF
Portable Document Format

How to cite

Song, J., Tang, T., Hu, G.: The Duration Threshold of Video Content Observation: An Experimental Investigation of Visual Perception efficiency. Computer Science and Information Systems, Vol. 20, No. 2, 879–892. (2023), https://doi.org/10.2298/CSIS220919017S