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In this paper, we propose an efficient encoding solution for the screen-sharing applications with multiple clients connected. We first present a lightweight screen codec to compress the complicated screen content. Based on the architecture of the proposed codec, we propose a one-pass encoding algorithm for multiple bit-rates. The one-pass encoding algorithm enables the host to only involve in one-pass...
In this paper, we propose a simple and effective scheme for screen image scaling, targeting at real-time applications like remote desktop and screen sharing. To balance visual quality and complexity, we build our scheme upon bilinear interpolation and devise a content adaptive post-processing method. Our scheme keeps the text/graphics regions of screen images as sharp as the original while avoiding...
In this paper, we propose a novel compression scheme for medical images with extended bit depth. Our scheme efficiently utilizes the VOI (value of interest) settings of the medical images, so that only a small part of the coded bit-stream is needed at the decoder to lossless display the original image with recommended VOI parameters. Gray-Golomb coding is used to support VOI progressive transmission...
The pervasive computing environment and the wide network bandwidth provide users more opportunities to utilize remote computing resources. In this paper, we introduce a high-performance remote computing platform to enable thin clients to access the applications in remote servers. Our system employs a compression-friendly model, where all the data redundancies are exploited in the compression viewport...
This paper proposes an efficient two-description image coding technique. The two side descriptions of an image are generated by quincunx subsampling. The decoding from any side description is done by an interpolation process that exploits sample correlation. Although the quincunx subsampling is a natural choice for the best use of sample correlations in image multiple-description coding (MDC), each...
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