Video-based hypermedia for education-on-demand

Ma, Wei-Hsiu; Lee, Yen-Jen; Du, David H. C.; McCahill, M.P.

doi:10.1145/244130.244473

Cited by 11 publications

(6 citation statements)

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“…These videos are generally recorded by camera(s) operated by professionals or installed in the lecture/presentation rooms [3]. Navigating between video chunks, using annotations and hyperlinks is discussed in [9,11]. An index structure-based method to efficiently search short video clips in large video collections is presented in [17].…”

Section: Related Workmentioning

confidence: 99%

Development and evaluation of indexed captioned searchable videos for STEM coursework

Tuna

Subhlok

Barker

et al. 2012

Proceedings of the 43rd ACM Technical Symposium on Computer Science Education

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Videos of classroom lectures have proven to be a popular and versatile learning resource. This paper reports on videos featuring Indexing, Captioning, and Search capability (ICS Videos). The goal is to allow a user to rapidly search and access a topic of interest, a key shortcoming of the standard video format. A lecture is automatically divided into logical indexed video segments by analyzing video frames. Text is automatically identified with OCR technology enhanced with image transformations to drive keyword search. Captions can be added to videos. The ICS video player integrates indexing, search, and captioning in video playback and has been used by dozens of courses and 1000s of students. This paper reports on the development and evaluation of ICS videos framework and assessment of its value as an academic learning resource.

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Section: Related Workmentioning

confidence: 99%

Development and evaluation of indexed captioned searchable videos for STEM coursework

Tuna

Subhlok

Barker

et al. 2012

Proceedings of the 43rd ACM Technical Symposium on Computer Science Education

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“…However, the division of vide is done manually. A related technolo hypervideo can synchronize content insid annotations and hyperlinks [14]. Hypervide to navigate between video chunks using th and hyperlinks.…”

Section: Related Workmentioning

confidence: 99%

Indexing and keyword search to ease navigation in lecture videos

Tuna

Subhlok

Shah

2011

2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)

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Abstract--Lecture videos have been commonly used to supplement in-class teaching and for distance learning. Videos recorded during in-class teaching and made accessible online are a versatile resource on par with a textbook and the classroom itself. Nonetheless, the adoption of lecture videos has been limited, in large part due to the difficulty of quickly accessing the content of interest in a long video lecture. In this work, we present "video indexing" and "keyword search" that facilitate access to video content and enhances user experience. Video indexing divides a video lecture into segments indicating different topics by identifying scene changes based on the analysis of the difference image from a pair of video frames. We propose an efficient indexing algorithm that leverages the unique features of lecture videos. Binary search with frame sampling is employed to efficiently analyze long videos. Keyword search identifies video segments that match a particular keyword. Since text in a video frame often contains a diversity of colors, font sizes and backgrounds, our text detection approach requires specialized preprocessing followed by the use of off-the-shelf OCR engines, which are designed primarily for scanned documents. We present image enhancements: text segmentation and inversion, to increase detection accuracy of OCR tools. Experimental results on a suite of diverse video lectures were used to validate the methods developed in this work. Average processing time for a one-hour lecture is around 14 minutes on a typical desktop. Search accuracy of three distinct OCR engines -Tesseract, GOCR and MODI increased significantly with our preprocessing transformations, yielding an overall combined accuracy of 97%. The work presented here is part of a video streaming framework deployed at multiple campuses serving hundreds of lecture videos.

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“…Streaming video has become more and more popular and common [16,19]. Compression techniques have been standardized and improved; bandwidth is increasing (also in private homes) making it realistic to use videos in an educational setting.…”

Section: Related Workmentioning

confidence: 99%

Revealing the programming process

Bennedsen¹,

Caspersen

2005

SIGCSE Bull.

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One of the most important goals of an introductory programming course is that the students learn a systematic approach to the development of computer programs. Revealing the programming process is an important part of this; however, textbooks do not address the issue -probably because the textbook medium is static and therefore ill-suited to expose the process of programming. We have found that process recordings in the form of captured narrated programming sessions are a simple, cheap, and efficient way of providing the revelation.We identify seven different elements of the programming process for which process recordings are a valuable communication media in order to enhance the learning process. Student feedback indicates both high learning outcome and superior learning potential compared to traditional classroom teaching.

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Video-based hypermedia for education-on-demand

Cited by 11 publications

References 0 publications

Development and evaluation of indexed captioned searchable videos for STEM coursework

Development and evaluation of indexed captioned searchable videos for STEM coursework

Indexing and keyword search to ease navigation in lecture videos

Revealing the programming process

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