Qiyam Tung

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The rapid adoption of distance learning means that significant lecture video content is available on-line. However, access from mobile devices is hampered by low bandwidth and small screen size. In this paper, we address these issues by manipulating two key elements of lecture video—displayed slides and laser pointer gestures. Displayed slides need to be(More)
We present a system that assists users in viewing videos of lectures on small screen devices, such as cell phones. It automatically identifies semantic units on the slides, such as bullets, groups of bullets, and images. As the participant views the lecture, the system magnifies the appropriate semantic unit while it is the focus of the discussion. The(More)
We present a context-aware system that simultaneously increases energy-efficiency and readability for educational videos on smart-phones with OLED displays. Our system analyzes the content of each frame of the video and intelligently modifies the colors and presentations of specific regions of the frame to drastically reduce display energy consumption while(More)
A significant part of many videos of lectures is presentation slides that occupy much of the field of view. Further, for a student studying the lecture, having the slides sharply displayed is especially important, compared with the speaker, background, and audience. However, even if the original capture supports it, the bandwidth required for real time(More)
Many lecture videos are becoming available online and mobile learning is becoming more popular. We propose a method of enhancing lecture videos on mobile devices by magnifying relevant information. CONTRIBUTIONS • Identification of semantic units. • Identification of laser gestures. • Magnification of semantic units – When highlighted by laser gestures. –(More)
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