VidAdapter

Author:

Ram Ashwin1ORCID,Xiao Han2ORCID,Zhao Shengdong3ORCID,Fu Chi-Wing4ORCID

Affiliation:

1. NUS-HCI Lab, Department of Computer Science, National University of Singapore, Singapore

2. School of Electronic Engineering and Computer Science, Queen Mary University of London, Peter Landin Building, Bethnal Green, London, United Kingdom

3. NUS-HCI Lab, Department of Computer Science, National University of Singapore, Singapore and CNRS@CREATE LTD, CREATE Tower, Singapore

4. Institute of Medical Intelligence and XR, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong

Abstract

Video lectures are increasingly being used by learners in a ubiquitous manner. However, existing video designs are not optimised for ubiquitous use, creating the need to adapt the style of these videos to meet the constraints of the learning platform and context of use. Our formative study with experienced video editing users, however, found that performing these adaptations using traditional video editors can be a challenging and time-consuming task. We developed VidAdapter, a tool that facilitates lecture video adaptation by allowing direct manipulation of the video content. For this, VidAdapter automatically extracts meaningful elements from the video, enables spatial and temporal reorganisation of the elements, and streamlines the modification of an element's visual appearance. We demonstrate the capabilities and specific use cases of VidAdapter within the domain of adapting existing blackboard lecture videos for on-the-go learning on Optical Head-Mounted Displays. Our evaluation of the tool with experienced video editing users revealed that VidAdapter was strongly preferred over traditional approaches and can improve the efficiency of the adaptation process by over 53% on average.

Funder

National Research Foundation Singapore

Ministry of Education - Singapore

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference46 articles.

1. Khan Academy . 2014 . Cerebral cortex - Khan Academy . Retrieved July 25, 2023 from https://www.youtube.com/watch?v=mGxomKWfJXs&t=356s&ab_channel=khanacademymedicine Khan Academy. 2014. Cerebral cortex - Khan Academy. Retrieved July 25, 2023 from https://www.youtube.com/watch?v=mGxomKWfJXs&t=356s&ab_channel=khanacademymedicine

2. LectureKhoj: Automatic tagging and semantic segmentation of online lecture videos

3. Responsive Web Design: A New Type of Design for Web-based Instructional Content

4. Responsive design and content adaptation for e-learning on mobile devices

5. Arijit Biswas , Ankit Gandhi , and Om Deshmukh . 2015. MMToC: A Multimodal Method for Table of Content Creation in Educational Videos (MM '15) . Association for Computing Machinery , New York, NY, USA , 621--630. https://doi.org/10.1145/2733373.2806253 10.1145/2733373.2806253 Arijit Biswas, Ankit Gandhi, and Om Deshmukh. 2015. MMToC: A Multimodal Method for Table of Content Creation in Educational Videos (MM '15). Association for Computing Machinery, New York, NY, USA, 621--630. https://doi.org/10.1145/2733373.2806253

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3