Title
Structuring and analyzing low-quality lecture videos
Abstract
This paper presents a lecture video structuring and analysis scheme to provide students an efficient way to access the lecture content. Instead of using color-based or histogram-based methodologies, we propose a new edge-based shot boundary detection algorithm to accurately rebuild the slide structure. The proposed approach can successfully resist the unwanted influences induced from the variant illumination condition and occlusions. Besides, original slide content can be extracted excluding any obstruction by using human removing techniques. Furthermore, the teaching focus is analyzed so that this system becomes more useful for learning.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959986
ICASSP
Keywords
Field
DocType
video signal processing,lecture video structure,illumination condition,slide structure,detection algorithm,lighting,new edge-based shot boundary,lecture video structuring,shot change detection,lecture videos,occlusions,computer graphics,original slide content,histogram-based methodology,edge-based shot boundary detection algorithm,video structuring,color-based methodology,edge detection,lecture content,distance learning,analysis scheme,low-quality lecture video,moving object detection,human removing techniques,lecture video analysis scheme,interactive video,computer aided instruction,image colour analysis,teaching focus,data mining,layout,change detection,information analysis
Interactive video,Histogram,Computer vision,Computer aided instruction,Pattern recognition,Edge detection,Computer science,Boundary detection,Artificial intelligence,Structuring,Computer graphics
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-2354-5
978-1-4244-2354-5
1
PageRank 
References 
Authors
0.37
5
3
Name
Order
Citations
PageRank
Yu-Tzu Lin13711.11
Bai-Jang Yen231.10
Greg C. Lee37715.14