2009
DOI: 10.1155/2009/406753
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Delivering Diagnostic Quality Video over Mobile Wireless Networks for Telemedicine

Abstract: In real-time remote diagnosis of emergency medical events, mobility can be enabled by wireless video communications. However, clinical use of this potential advance will depend on definitive and compelling demonstrations of the reliability of diagnostic quality video. Because the medical domain has its own fidelity criteria, it is important to incorporate diagnostic video quality criteria into any video compression system design. To this end, we used flexible algorithms for region-of-interest (ROI) video compr… Show more

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Cited by 27 publications
(24 citation statements)
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References 16 publications
(19 reference statements)
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“…In [15], [16], [18], [19] we observe this shift towards the establishment of diagnostic validation criteria in the evaluation of the transmitted medical video.…”
Section: Diagnostic Validationmentioning
confidence: 88%
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“…In [15], [16], [18], [19] we observe this shift towards the establishment of diagnostic validation criteria in the evaluation of the transmitted medical video.…”
Section: Diagnostic Validationmentioning
confidence: 88%
“…The design of an elastic ROI coding which incorporates different quantization levels for ROI and non-ROI, targeting Diagnostically Lossless (DL) encoding over bitrate limited wireless channels utilizing physician expert feedback is presented in [16]. An encoder states diagram for different quality levels is designed and a state transition is considered every Group of Pictures (GOP).…”
Section: A Diagnostic Region Of Interest (Roi) Based Systemsmentioning
confidence: 99%
“…However, what one finds in the some existing literature on wireless systems for telemedicine [19] is a discussion of wireless technologies but limited simulation or testing for specific wireless systems. For example, in [3] though a WiMAX simulation was performed, the authors did not state what channel model was used and employed a non-standard wavelet codec, whereas in [9], no specific wireless technology was simulated and an unrealistic error pattern was tested.…”
Section: Wireless For Telemedicine Systemsmentioning
confidence: 99%
“…In this series, high compression rate will cause dramatic decrease on the performance of object recognition [2] since there is no distinguish between background and foreground. In order to improve the perceptual quality, the visual redundancy is exploited by assigning higher priority to blocks with high visual sensitivity [3,4] or hiding the coding artifact in the insensitive area [5,6]. However, this scheme does not explicitly classify background and foreground either.…”
Section: Introductionmentioning
confidence: 99%