计算机科学
算法
编码(社会科学)
像素
现场可编程门阵列
块大小
数据压缩
视频质量
多视点视频编码
人工智能
视频处理
计算机视觉
计算机硬件
视频跟踪
钥匙(锁)
数学
计算机安全
统计
经济
公制(单位)
运营管理
作者
Zhilei Chai,Li Shen,Qunfang He,Mingsong Chen,Wenjie Chen
标识
DOI:10.1142/s0218126620501820
摘要
The explosive growth of video applications has produced great challenges for data storage and transmission. In this paper, we propose a new ROI (region of interest) encoding solution to accelerate the processing and reduce the bitrate based on the latest video compression standard H.265/HEVC (High-Efficiency Video Coding). The traditional ROI extraction mapping algorithm uses pixel-based Gaussian background modeling (GBM), which requires a large number of complex floating-point calculations. Instead, we propose a block-based GBM to set up the background, which is in accord with the block division of HEVC. Then, we use the SAD (sum of absolute difference) rule to separate the foreground block from the background block, and these blocks are mapped into the coding tree unit (CTU) of HEVC. Moreover, the quantization parameter (QP) is adjusted according to the distortion rate automatically. The experimental results show that the processing speed on FPGA has reached a real-time level of 22 FPS (frames per second) for full high-definition videos ([Formula: see text]), and the bitrate is reduced by 10% on average with stable video quality.
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