Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India

Research Article

Leveraging Big Data Algorithms to Improve Content Quality and User Experience in Large- Scale Video Production

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  • @INPROCEEDINGS{10.4108/eai.23-11-2023.2343191,
        author={Xiang  Li and Anukul  Tamprasirt and Fangli  Ying},
        title={ Leveraging Big Data Algorithms to Improve Content Quality and User Experience in Large- Scale Video Production},
        proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India},
        publisher={EAI},
        proceedings_a={IACIDS},
        year={2024},
        month={3},
        keywords={algorithmic editing content quality user experience conventional editing and likert scale},
        doi={10.4108/eai.23-11-2023.2343191}
    }
    
  • Xiang Li
    Anukul Tamprasirt
    Fangli Ying
    Year: 2024
    Leveraging Big Data Algorithms to Improve Content Quality and User Experience in Large- Scale Video Production
    IACIDS
    EAI
    DOI: 10.4108/eai.23-11-2023.2343191
Xiang Li1,*, Anukul Tamprasirt1, Fangli Ying1
  • 1: International College of Digital Innovation, Chiangmai University , Chiangmai , Thailand
*Contact email: xiang_l@cmu.ac.th

Abstract

The explosive growth of video data presents a significant challenge in terms of managing and processing large amounts of visual information in the TV and film production industry. Algorithmic video editing techniques have become crucial in this big data context to efficiently generate informative video content. While many existing works have focused on cost reductions and efficiency improvements, relatively less attention has been paid to user experience and overall video quality. In this study, we conducted a user survey to explore the impact of algorithmic video editing to the user experience and video quality in TV and film production. A total of 110 respondents participated in a 10-point Likert Scale survey to express their views on key dimensions such as content quality, aesthetic appeal, consistency, reliability, information, total waiting time for video production, and likelihood of recommending videos to their friends. The results of the empirical investigation showed that the use of algorithms in editing videos can not only effectively reduce the waiting time but also enhance content quality and user experience in large-scale video production. Participants reported significantly higher satisfaction with algorithmic editing than with raw footage or conventionally edited videos