| Video mobile communication: a memory-based approach |
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International Conference On Mobile Technology, Applications, And Systems
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Proceedings of the International Conference on Mobile Technology, Applications, and Systems
table of contents
Yilan, Taiwan
SESSION: Mobile computing & applications
table of contents
Article No. 4
Year of Publication: 2008
ISBN:978-1-60558-089-0
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Downloads (6 Weeks): 6, Downloads (12 Months): 37, Citation Count: 0
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ABSTRACT
Multimedia information is becoming a major part of today's communication, as used over the Internet and mobile applications. As a result, the increasing amount of information transmitted via band-limited channels has to be handled in an efficient manner to avoid congestion and delays. In this work, an efficient approach to multimedia data transmission is proposed. Its main assumption is that in many situations the multimedia data could be decomposed into basic components that have been used in the past to represent future data. To illustrate the capabilities of the proposed approach, a compression system for video transmission is proposed and tested. Experimental results show a high compression ratio of over 100:1, obtaining almost lossless visual reproduction, with a signal-to-noise ratio higher than 1000. The proposed approach can be also applied to other components of the multimedia stream, such as audio. Our conclusion is that memory-based compression could be an efficient means in mobile communication.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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Kirshner, H. and Porat, M., "On the Approximation of L2 Inner Products from Sampled Data", IEEE Trans. on Signal Processing, Vol. 55, No. 5, pp. 2136--2144, 2007.
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.4
INFORMATION SYSTEMS APPLICATIONS
H.4.3
Communications Applications
Subjects:
Computer conferencing, teleconferencing, and videoconferencing
General Terms:
Algorithms,
Design,
Experimentation,
Human Factors,
Performance
Keywords:
band-limited channels,
compression,
image modeling,
model-based,
video communication
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