In this paper, we present a method using video codec technology to compress ECG signals. This method exploits both intra-beat and inter-beat correlations of the ECG signals to achieve high compression ratios (CR) and ...In this paper, we present a method using video codec technology to compress ECG signals. This method exploits both intra-beat and inter-beat correlations of the ECG signals to achieve high compression ratios (CR) and a low percent root mean square difference (PRD). Since ECG signals have both intra-beat and inter-beat redundancies like video signals, which have both intra-frame and inter-frame correlation, video codec technology can be used for ECG compression. In order to do this, some pre-process will be needed. The ECG signals should firstly be segmented and normalized to a sequence of beat cycles with the same length, and then these beat cycles can be treated as picture frames and compressed with video codec technology. We have used records from MIT-BIH arrhythmia database to evaluate our algorithm. Results show that, besides compression efficiently, this algorithm has the advantages of resolution adjustable, random access and flexibility for irregular period and QRS false detection.展开更多
Nowadays, from home monitoring to large airport security, a lot of digital video surveillance systems have been used. Digital surveillance system usually requires streaming video processing abilities. As an advanced v...Nowadays, from home monitoring to large airport security, a lot of digital video surveillance systems have been used. Digital surveillance system usually requires streaming video processing abilities. As an advanced video coding method, H.264 is introduced to reduce the large video data dramatically (usually by 70X or more). However, computational overhead occurs when coding and decoding H.264 video. In this paper, a System-on-a-Chip (SoC) based hardware acceleration solution for video codec is proposed, which can also be used for other software applications. The characteristics of the video codec are analyzed by using the profiling tool. The Hadamard function, which is the bottleneck of H.264, is identified not only by execution time but also another two attributes, such as cycle per loop and loop round. The Co-processor approach is applied to accelerate the Hadamard function by transforming it to hardware. Performance improvement, resource costs and energy consumption are compared and analyzed. Experimental results indicate that 76.5% energy deduction and 8.09X speedup can be reached after balancing these three key factors.展开更多
以超高清(Ultra High Definition,UHD)视频技术及应用为研究重点,首先全面介绍超高清视频技术的概述,其次重点分析超高清视频产业链关键组成部分,最后深入探讨超高清视频技术的应用领域,包括在电影、电视、文教娱乐等领域的应用,为超高...以超高清(Ultra High Definition,UHD)视频技术及应用为研究重点,首先全面介绍超高清视频技术的概述,其次重点分析超高清视频产业链关键组成部分,最后深入探讨超高清视频技术的应用领域,包括在电影、电视、文教娱乐等领域的应用,为超高清视频技术发展及应用场景拓展提供参考。展开更多
作为一种由ITU-T国际视频组织和ISO的MPEG小组联合推出的未来视频处理标准,JVT(joint video team)的主要功能是改进当前压缩标准,通过采用切图技术、高分辨率的亚像素技术以及不同尺寸的块和形状与使用多个参考图进行Intra/Inter预测编...作为一种由ITU-T国际视频组织和ISO的MPEG小组联合推出的未来视频处理标准,JVT(joint video team)的主要功能是改进当前压缩标准,通过采用切图技术、高分辨率的亚像素技术以及不同尺寸的块和形状与使用多个参考图进行Intra/Inter预测编码等技术来降低码率,提高压缩质量和压缩效率.同时在网络层通过对信息的封装与优先级控制等技术来实现数据在不同网络之间的透明传输与网络友好.重点介绍了JVT草案中的核心技术,包括JVT体系结构、层次模型以及与VCL(video coding layer)和NAL(network abstraction layer)两层相关具有代表性的关键技术,分析和探讨了当前JVT存在的问题和进一步的研究方向.展开更多
文摘In this paper, we present a method using video codec technology to compress ECG signals. This method exploits both intra-beat and inter-beat correlations of the ECG signals to achieve high compression ratios (CR) and a low percent root mean square difference (PRD). Since ECG signals have both intra-beat and inter-beat redundancies like video signals, which have both intra-frame and inter-frame correlation, video codec technology can be used for ECG compression. In order to do this, some pre-process will be needed. The ECG signals should firstly be segmented and normalized to a sequence of beat cycles with the same length, and then these beat cycles can be treated as picture frames and compressed with video codec technology. We have used records from MIT-BIH arrhythmia database to evaluate our algorithm. Results show that, besides compression efficiently, this algorithm has the advantages of resolution adjustable, random access and flexibility for irregular period and QRS false detection.
文摘Nowadays, from home monitoring to large airport security, a lot of digital video surveillance systems have been used. Digital surveillance system usually requires streaming video processing abilities. As an advanced video coding method, H.264 is introduced to reduce the large video data dramatically (usually by 70X or more). However, computational overhead occurs when coding and decoding H.264 video. In this paper, a System-on-a-Chip (SoC) based hardware acceleration solution for video codec is proposed, which can also be used for other software applications. The characteristics of the video codec are analyzed by using the profiling tool. The Hadamard function, which is the bottleneck of H.264, is identified not only by execution time but also another two attributes, such as cycle per loop and loop round. The Co-processor approach is applied to accelerate the Hadamard function by transforming it to hardware. Performance improvement, resource costs and energy consumption are compared and analyzed. Experimental results indicate that 76.5% energy deduction and 8.09X speedup can be reached after balancing these three key factors.
