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This system provides a solution for encoding video at subjectively acceptable quality over limited and variable bit-rate networks using a region-of-interest framework.
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Summary: Georgia Tech researchers have developed a method to deliver clinically or functionally acceptability video imaging for telemedicine applications, even in remote locations with low bandwith capabilities. The compression process causes no tangible loss of detail and introduces no noticeable artifacts which could lead to misinterpretation. The elastic expert system allocates bits according to application domain requirements and network resources. The system observes the network resources and determines a state for allocating bits, the state relating to the application domain requirements. The system can then allocate bits to a region-of-interest based on the determined state, and can also allocate bits to a background region and an extended region of interest. This system provides a solution for encoding video at subjectively acceptable quality over limited and variable bit-rate networks using a region-of-interest framework.