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Forecasting financial time-series has long been among the most challenging problems in financial market analysis. In order to recognize the correct circumstances to enter or exit the markets investors usually employ statistical models (or even simple qualitative methods). However, the inherently noisy and stochastic nature of markets severely limits the forecasting accuracy of the used models. The...
Segment-based temporal prediction combined with higher-order motion models have been studied as an alternative to conventional block-based translational inter prediction. One example of such studies is known as motion hints, where an affine motion model has been used. In this paper, we explore the applicability of motion hints with an elastic motion model in generating reference frames for conventionally...
Mode decision has a significant effect on the quality and complexity of video coding. It is even more challenging when generating multiple bitstreams with different bitrates (BRs) in, for example, dynamic adaptive streaming for HTTP or transrating systems. Full search and simplified fast search mode decision (MD) methods either suffer from a high computational complexity or have a negative impact...
The mode decision process has a significant effect on the quality and complexity of a video encoder. The conventional method that fully codes each macro block for different modes results in the best quality performance, but it suffers from high computational complexity. On the other hand, some other methods ignore the residual part and use the prediction data, or adopt early mode selection approaches...
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