The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users. Stemming from this principle, we propose here a context-aware transmission strategy for medical video transmission over WiMAX systems. Context, in terms of regions of interest (ROI) in a specific session, is taken into account for the identification of multiple regions of interest, and compression/transmission strategies are tailored to such context information. We present a methodology based on H.264 medical video compression and Flexible Macroblock Ordering (FMO) for ROI identification. Two different unequal error protection methodologies, providing higher protection to the most diagnostically relevant data, are presented.
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http://dx.doi.org/10.1155/2010/127519 | DOI Listing |
IEEE Trans Image Process
November 2011
School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada.
In video transmission over packet-based networks, packet losses often occur in bursts. In this paper, we present a novel packetization method for increasing the robustness of compressed video against bursty packet losses. The proposed method is based on creating a coding order of macroblocks (MBs) so that the blocks that are close to each other in the coding order end up being far from each other in the frame.
View Article and Find Full Text PDFIEEE Trans Inf Technol Biomed
May 2011
Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus.
We propose a unifying framework for efficient encoding, transmission, and quality assessment of atherosclerotic plaque ultrasound video. The approach is based on a spatially varying encoding scheme, where video-slice quantization parameters are varied as a function of diagnostic significance. Video slices are automatically set based on a segmentation algorithm.
View Article and Find Full Text PDFInt J Telemed Appl
July 2011
Wireless Multimedia Networking Research Group, Kingston University, London, UK.
The most recent network technologies are enabling a variety of new applications, thanks to the provision of increased bandwidth and better management of Quality of Service. Nevertheless, telemedical services involving multimedia data are still lagging behind, due to the concern of the end users, that is, clinicians and also patients, about the low quality provided. Indeed, emerging network technologies should be appropriately exploited by designing the transmission strategy focusing on quality provision for end users.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
March 2010
Department of Computer Science, University of Cyrus, Nicosia, Cyprus.
In this paper we define diagnostic Regions of Interest (ROIs) for carotid ultrasound medical video, which we then use as input for Flexible Macroblock Ordering (FMO) slice encoding. We extend the FMO concept by enabling variable quality slice encoding, tightly coupled by each region's diagnostic importance. Redundant Slices (RS) utilization increases compressed video's resilience over error prone transmission mediums.
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