The Generalized Gabor Scheme of Image Representation in Biological and Machine Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curve Segmentation Under Partial Occlusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Multimedia Communications: Applications, Middleware, Networking
Introduction to Multimedia Communications: Applications, Middleware, Networking
On the Approximation of Inner Products From Sampled Data
IEEE Transactions on Signal Processing
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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.