Leilei Huang

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The latest video coding standard high-efficiency video coding (HEVC) provides 50% improvement in coding efficiency compared to H.264/AVC to meet the rising demands for video streaming, better video quality, and higher resolution. The deblocking filter (DF) and sample adaptive offset (SAO) play an important role in the HEVC encoder, and the SAO is newly(More)
Tumor endothelial marker 8 (TEM8) was recently suggested as a putative anti-tumor target in several types of human cancer based on its selective overexpression in tumor versus normal endothelial cells. The objective of this study was to detect the potential functions of TEM8 in osteosarcoma. Overall, TEM8 was mainly located in cytoplasm and was up-regulated(More)
The next generation standard of coding, High Efficiency Video Coding (HEVC) aims to provide significantly improved compression performance in comparison with all existing video coding standards, such as MPEG-4, H.263, and H.264/AVC. The tool of rate-distortion optimization (RDO) mode decision has proven to be extremely important. Due to the increase in the(More)
In the High Efficiency Video Coding (HEVC) standard, a notation of the transform unit (TU) is introduced with four different sizes, i.e., 4 × 4, 8 × 8, 16 × 16, and 32 × 32, which results in at least two problems in the use of discrete cosine transform/inversed discrete cosine transform (DCT/IDCT). One is changeable input/output format presented by DCT/IDCT(More)
In this paper a hardware oriented integer motion estimation (IME) algorithm is proposed. The algorithm put forward to divide the largest coding unit (LCU) into four motion vector (MV) prediction cluster. Each cluster has a separate MV as the start for search window center. Then the best matched MV can be searched in a small size search window. All PUs in(More)
High Efficiency Video Coding (HEVC) is the latest video coding standard which aims to provide a much better coding performance than that of its predecessor, namely, H.264, especially for High-Definition (HD) videos. To fulfill such a goal, the Prediction Unit (PU) modes and partitions are more complex and the search range of Motion Estimation (ME) is much(More)
The speed of a quantum random number generator is essential for practical applications, such as high-speed quantum key distribution systems. Here, we push the speed of a quantum random number generator to 68 Gbps by operating a laser around its threshold level. To achieve the rate, not only high-speed photodetector and high sampling rate are needed but also(More)
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