Video Analysis and Repackaging for Distance Education (Hardcover, 2012 ed.)

This book presents various video processing methodologies that are useful for distance education. The motivation is to devise new multimedia technologies that are suitable for better representation of instructional videos by exploiting the temporal redundancies present in the original video. This solves many of the issues related to the memory and bandwidth limitation of lecture videos. The various methods described in the book focus on a key-frame based approach which is used to time shrink, repackage and retarget instructional videos. All the methods need a preprocessing step of shot detection and recognition, which is separately given as a chapter. We find those frames which are well-written and distinct as key-frames. A super-resolution based image enhancement scheme is suggested for refining the key-frames for better legibility. These key-frames, along with the audio and a meta-data for the mutual linkage among various media components form a repackaged lecture video, which on a programmed playback, render an estimate of the original video but at a substantially compressed form. The book also presents a legibility retentive retargeting of this instructional media on mobile devices with limited display size. All these technologies contribute to the enhancement of the outreach of distance education programs. Distance education is now a big business with an annual turnover of over 10-12 billion dollars. We expect this to increase rapidly. Use of the proposed technology will help deliver educational videos to those who are less endowed in terms of network bandwidth availability and to those everywhere who are even on a move by delivering it effectively to mobile handsets (including PDAs). Thus, technology developers, practitioners, and content providers will find the material very useful.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	June 2012
First published:	2012
Authors:	A. Ranjith Ram • Subhasis Chaudhuri
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	178
Edition:	2012 ed.
ISBN-13:	978-1-4614-3836-6
Categories:	Books > Social sciences > Education > Higher & further education > Open learning & distance education Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-4614-3836-5
Barcode:	9781461438366

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