为了面向低延时的浅压缩场景提供更加适配的编码方案,并降低硬件实现成本,提出一种基于数字音视频编解码技术标准(Audio Video coding Standard,AVS)浅压缩算法的帧内预测模式优化以及快速率失真优化算法。该算法通过减少原有算法帧内...为了面向低延时的浅压缩场景提供更加适配的编码方案,并降低硬件实现成本,提出一种基于数字音视频编解码技术标准(Audio Video coding Standard,AVS)浅压缩算法的帧内预测模式优化以及快速率失真优化算法。该算法通过减少原有算法帧内预测所需的预测循环次数,以及打破各块之间的数据依赖关系等措施,克服了原始方案不适合硬件流水并行处理的限制,提高了编码的效率和稳定性,从而既保障了算法的视频质量,又使新的硬件实现方案更符合实际应用需求。实验结果表明,该算法优化方案能够有效改善实际面向低延时浅压缩场景下的编码效果。展开更多
分析了先进音视频编码标准(Audioand Video Standard,AVS)的帧内预测算法,提出了实现自适应帧内预测的硬件架构。该硬件架构采用8×8块级自适应流水线,利用滑动窗口获取片上存储器中的参考样本,使用8个并行的处理单元(PE)计算预测值...分析了先进音视频编码标准(Audioand Video Standard,AVS)的帧内预测算法,提出了实现自适应帧内预测的硬件架构。该硬件架构采用8×8块级自适应流水线,利用滑动窗口获取片上存储器中的参考样本,使用8个并行的处理单元(PE)计算预测值,用脉动阵列实现复杂色度Plane模式预测值的计算。基于VerilogHDL硬件描述语言实现设计并进行功能验证,仿真和综合结果表明设计符合要求。展开更多
Audio Video coding Standard (AVS) is the latest audio and video coding standard of China. AVS Part 7 (also known as AVS-M) targets mobility applications where error concealment is of great importance. This paper first...Audio Video coding Standard (AVS) is the latest audio and video coding standard of China. AVS Part 7 (also known as AVS-M) targets mobility applications where error concealment is of great importance. This paper first briefly introduces the general concept of error concealment. Then two error concealment schemes are proposed and implemented on AVS-M decoder under different test conditions. Simulation results of the schemes and suggestions on how to use these tools are also provided.展开更多
A new video watermarking method for the Audio Video coding Standard (AVS) is proposed. According to human visual masking properties, this method determines the region of interest for watermark embedding by analyzing v...A new video watermarking method for the Audio Video coding Standard (AVS) is proposed. According to human visual masking properties, this method determines the region of interest for watermark embedding by analyzing video semantics, and generates dynamic robust watermark according to video motion semantics, and embeds watermarks in the Intermediate Frequency (IF) Discrete Cosine Transform (DCT) coefficients of the luminance sub-block prediction residual in the region of interest. This method controls watermark embedding strength adaptively by video textures semantics. Ex- periments show that this method is robust not only to various conventional attacks, but also to re-frame, frame cropping, frame deletion and other video-specific attacks.展开更多
文摘为了面向低延时的浅压缩场景提供更加适配的编码方案,并降低硬件实现成本,提出一种基于数字音视频编解码技术标准(Audio Video coding Standard,AVS)浅压缩算法的帧内预测模式优化以及快速率失真优化算法。该算法通过减少原有算法帧内预测所需的预测循环次数,以及打破各块之间的数据依赖关系等措施,克服了原始方案不适合硬件流水并行处理的限制,提高了编码的效率和稳定性,从而既保障了算法的视频质量,又使新的硬件实现方案更符合实际应用需求。实验结果表明,该算法优化方案能够有效改善实际面向低延时浅压缩场景下的编码效果。
文摘分析了先进音视频编码标准(Audioand Video Standard,AVS)的帧内预测算法,提出了实现自适应帧内预测的硬件架构。该硬件架构采用8×8块级自适应流水线,利用滑动窗口获取片上存储器中的参考样本,使用8个并行的处理单元(PE)计算预测值,用脉动阵列实现复杂色度Plane模式预测值的计算。基于VerilogHDL硬件描述语言实现设计并进行功能验证,仿真和综合结果表明设计符合要求。
基金Project (No. 60333020) supported by the National Natural Science Foundation of China
文摘Audio Video coding Standard (AVS) is the latest audio and video coding standard of China. AVS Part 7 (also known as AVS-M) targets mobility applications where error concealment is of great importance. This paper first briefly introduces the general concept of error concealment. Then two error concealment schemes are proposed and implemented on AVS-M decoder under different test conditions. Simulation results of the schemes and suggestions on how to use these tools are also provided.
基金Supported by the Natural Science Foundation of Shaanxi Province (SJ08F15)the Industry Tackling Project of Shaanxi Province (2010K06-20)the National Natural Science Foundation of China and Civil Aviation Ad-ministration of China (No. 61072110)
文摘A new video watermarking method for the Audio Video coding Standard (AVS) is proposed. According to human visual masking properties, this method determines the region of interest for watermark embedding by analyzing video semantics, and generates dynamic robust watermark according to video motion semantics, and embeds watermarks in the Intermediate Frequency (IF) Discrete Cosine Transform (DCT) coefficients of the luminance sub-block prediction residual in the region of interest. This method controls watermark embedding strength adaptively by video textures semantics. Ex- periments show that this method is robust not only to various conventional attacks, but also to re-frame, frame cropping, frame deletion and other video-specific attacks.
