A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Competing in the E-learning Environment--Strategies for Universities
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 8 - Volume 8
Color Image Compression Using an Embedded Rate Scalable Approach
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
CW '03 Proceedings of the 2003 International Conference on Cyberworlds
Lecture Videos for E-Learning: Current Research and Challenges
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
A texture replacement method at the encoder for bit-rate reduction of compressed video
IEEE Transactions on Circuits and Systems for Video Technology
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A serious bottleneck in multimedia e-learning is the non-availability of required bandwidth. While much research has been done on multimedia compression and network resource optimisation, multimedia delivery is still a big concern, especially for scarce resource networks. In this paper we incorporate network-information to determine how various parts of the video frames are encoded. An estimate of the available network bandwidth allows optimal resource sharing between the different frame constituents based on their relative importance and motion. While this scheme is operational for all low motion videos with identifiable Visual Objects (VO), we demonstrate the approach using educational videos.