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• W2041103663 abstract "The growth of Massive Open Online Courses (MOOCs) has been remarkable in the last few years. A significant amount of MOOCs content is in the form of videos and participants often use non-linear navigation to browse through a video. This paper proposes the design of a system that provides non-linear navigation in educational videos using features derived from a combination of audio and visual content of a video. It provides multiple dimensions for quickly navigating to a given point of interest in a video i.e., customized dynamic time-aware word-cloud, video pages, and a 2-D timeline. In word-cloud, the relative placement of the words indicates their temporal ordering in the video whereas color codes are used to represent acoustic stress. The 2-D timeline is used to present multiple occurrences of a keyword/concept in the video in response to user click in the word-cloud. Additionally, visual content is analyzed to identify frames with maximum written content, known as video pages. We conducted a user study with 20 users to evaluate the proposed system and compared it with transcription-based interfaces used by major MOOC providers. Our findings suggest that the proposed system leads to statistically significant navigation time savings especially on multimodal navigation tasks." @default.
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• W2041103663 date "2015-03-18" @default.
• W2041103663 modified "2023-10-10" @default.
• W2041103663 title "Content-driven Multi-modal Techniques for Non-linear Video Navigation" @default.
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• W2041103663 doi "https://doi.org/10.1145/2678025.2701408" @default.
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