Automated closed-captioning using text alignment

Author(s):  
Anthony F. Martone ◽  
Cuneyt M. Taskiran ◽  
Edward J. Delp
Author(s):  
G. Boulianne ◽  
J.-F. Beaumont ◽  
M. Boisvert ◽  
J. Brousseau ◽  
P. Cardinal ◽  
...  

Author(s):  
Christofer Meinecke ◽  
David Wrisley ◽  
Stefan Janicke
Keyword(s):  

2013 ◽  
pp. 1245-1254
Author(s):  
Susan Vajoczki ◽  
Susan Watt

This case examines the incremental introduction of lecture-capture as a learning technology at a research-intensive university with the goal of addressing issues created by increases in both undergraduate enrolments and disability accommodation needs. This process began with podcasting lectures, leading ultimately to a lecture capture system with closed captioning. At each step, the changes were evaluated in terms of their impact on student learning, acceptability to students and faculty, and application to different disciplines. This evidence-based approach is in keeping with the research culture of the academy and has been helpful in advocating for budgetary support and encouraging faculty participation. As a result of this project, the authors unexpectedly gained substantial knowledge about the complexity of students’ lives, the impact of that complexity on their approach to learning, instructor misperceptions about the impact of this form of learning, the presence of many unreported disabilities, and the many different ways in which students used the system.


Author(s):  
Sean Zdenek

This chapter explores the value of closed captioning in universal design. While closed captions positively impact a wide range of our students—deaf, hard of hearing, and hearing—they also have the potential to create more robust and interactive digital learning systems. Caption technology can address the current limitations of video search and retrieval by offering students fully searchable, fully clickable interactive transcripts. The future of closed captioning on the Web will offer students a means to search the video collection of an entire course, or even across all of the videos produced in all of the courses of a department, college, or university. In this future learning environment, captions will enable students to use keywords not only to find and review course content across multiple videos but also to insert their own “margin” notes, share comments with students, and create customizable video mash-ups as study guides.


Displays ◽  
2007 ◽  
Vol 28 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Jonathan Ling ◽  
Paul van Schaik

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