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Most video coding standards, including the state-of-the-art High Efficiency Video Coding (HEVC), make use of sub-pixel Motion Estimation (ME) with Motion Vectors (MV) at fractional precisions to achieve high compression ratios. Unfortunately, sub-pixel ME comes at very high computational costs due to the interpolation step and additional motion searches. In(More)
Sub-pixel motion estimation is used in most modern video coding schemes to improve the outcomes of motion estimation. The reference frame is interpolated and motion vectors are refined with fractional components to reduce the prediction error. Due to the high complexity of these steps, sub-pixel motion estimation can be very demanding in terms of encoding(More)
Pulsed field gradient NMR measurements of rat lung tissue have shown that the apparent water self-diffusion coefficient is nearly an order of magnitude smaller than that of free water and moreover is not constant but varies as the inverse square root of the diffusion time. The mean square displacement of water molecules is similarly proportional to the(More)
The recently ratified High Efficiency Video Coding (HEVC) standard is significantly outperforming previous video coding standards in terms of compression efficiency. However, this comes at the cost of very high computational complexity, which may limit its real-time usage, particularly when targeting Ultra High Definition (UHD) applications. In this paper,(More)
The NMR relaxation times T'2, T2, and T1 were measured in isolated rat lungs as functions of external magnetic field B0, temperature, and lung inflation. The observed linear dependence on B0 of the tissue-induced free induction decay rate (T'2)-1 provides independent confirmation of the air/water interface model of the lung. Furthermore, measurements of the(More)
Typical H.265/High Efficiency Video Coding (HEVC) encoder implementations test a variety of prediction modes and select the optimal configuration for each block in terms of Rate-Distortion (RD) cost. A fast HEVC mode decision algorithm is proposed here referred to as Context Adaptive Mode Sorting (CAMS). The frequency of selection of modes and their RD(More)