Varuna De Silva

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A sensor is a device which measures a domain or environment and returns a signal from which information may be extracted. Sensors vary in scope, resolution, and ability. The information they return can be a simple as a binary flag, as with a metal detector which beeps to indicate a detection threshold being crossed. A more complex sensor, such as a video(More)
The quality assessment of impaired stereoscopic video is a key element in designing and deploying advanced immersive media distribution platforms. A widely accepted quality metric to measure impairments of stereoscopic video is, however, still to be developed. As a step toward finding a solution to this problem, this paper proposes a full reference(More)
Demand on multimedia content by consumers’ handheld devices over wireless channels is on the increase. In view of the accelerated trend towards consumption of high quality video, power utilization by mobile devices is expected to excessively increase. Hence, it becomes equally important to advance more efficient power minimization techniques, in light of(More)
The recent developments of 3D media technology have brought to life numerous applications of interactive entertainment such as 3D cinema, 3DTV and gaming. However, due to the data intensive nature of 3D visual content, a number of research challenges have emerged. In order to optimise the end-to-end content life-cycle, from capture to processing and(More)
Local Tangent Space Alignment (LTSA) algorithm is a classic local nonlinear manifold learning algorithm based on the information about local neighborhood space, i.e., local tangent space with respect to each point in dataset, which aims at finding the low-dimension intrinsic structure lie in high dimensional data space for the purpose of dimensionality(More)
With the increasing popularity of online video streaming and broadcasting applications, video transmission has become the most bandwidth consumed application in the Internet. Unless resource utilisation is further optimised, existing networks would not be able to accommodate the forecasted demand for high volume video traffic. Random Linear Network Coding(More)
Locally Linear Embedding (LLE) algorithm is the first classic nonlinear manifold learning algorithm based on the local structure information about the data set, which aims at finding the low-dimension intrinsic structure lie in high dimensional data space for the purpose of dimensionality reduction. One deficiency appeared in this algorithm is that it(More)
Owing to its wide-interoperability, stereoscopic 3D video format in High Definition (HD) is a popular choice for 3D entertainment media distribution. However, the delivery over bandwidth constrained networks exhibits challenges in terms of intermittent congestions in the network traffic, which enforce the delivery system to perform perception-aware coding(More)