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基于决策树的HEVC到VVC转码算法
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作者 许世扬 肖广 滕国伟 《工业控制计算机》 2025年第1期66-67,128,共3页
H.266/VVC优秀的编码效率促使人们将H.265/HEVC编码的视频内容转码到H.266/VVC标准。然而H.266/VVC新引入的四叉树嵌套多类型树(QTMT)编码单元(CU)划分技术显著增加了VVC编码可能的划分模式,并导致HEVC到VVC的转码的高复杂度。因此提出... H.266/VVC优秀的编码效率促使人们将H.265/HEVC编码的视频内容转码到H.266/VVC标准。然而H.266/VVC新引入的四叉树嵌套多类型树(QTMT)编码单元(CU)划分技术显著增加了VVC编码可能的划分模式,并导致HEVC到VVC的转码的高复杂度。因此提出了基于深度重用和决策树的HEVC到VVC转码算法。首先通过HEVC的划分深度缩小了VVC编码单元划分的深度范围,随后使用决策树判断剩余深度上CU分裂的可能性,并对不太可能的划分深度执行简化测试。实验结果显示,和原版的转码算法相比,提出的算法平均降低了45.53%的转码复杂度,而BDBR仅增加了0.80%。 展开更多
关键词 H.265/hevc H.266/VVC 转码
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高效HEVC编码器的硬件架构设计
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作者 黄晖 施隆照 黄霖 《中国集成电路》 2025年第3期35-42,共8页
高效视频编码标准(High Efficiency Video Coding,HEVC)作为H.264/AVC的继任者,提高了约2倍的编码效率。但其编码数据的计算复杂度和依赖性的增加,使视频编码器在硬件实现上更加困难。尤其是对编码器视频数据的处理和存取以及编码器内... 高效视频编码标准(High Efficiency Video Coding,HEVC)作为H.264/AVC的继任者,提高了约2倍的编码效率。但其编码数据的计算复杂度和依赖性的增加,使视频编码器在硬件实现上更加困难。尤其是对编码器视频数据的处理和存取以及编码器内部状态控制的实现带来挑战。本文基于HEVC的宏块编码流程,提出了一种满足整体编码器实时高效运行的视频数据的存取结构和协调编码器各模块的顶层控制的方案。整个设计基于VCS和VIVADO的联合仿真环境验证功能的正确性。并在Xilinx公司的VCU118型号的FPGA上完成上板验证。测试结果表明,综合后的编码器的主频为100 MHz,可以满足编码器实现1080P30@fps的编码需求。 展开更多
关键词 视频编码 hevc DDR FPGA
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基于能耗优化的无人战车HEVC解码感知算法
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作者 李正雄 李明月 +2 位作者 王孟 杨振宇 刘辉 《火力与指挥控制》 北大核心 2025年第1期138-145,共8页
为了优化无人战车在解码压缩视频时产生的能耗,提出一种改变视频码流的HEVC解码复杂度感知算法,以降低解码复杂度,并限制编码效率的影响。确定解码复杂性,视频质量和比特率的比例,再通过解码复杂度感知算法,生成解码复杂度-码率-失真模... 为了优化无人战车在解码压缩视频时产生的能耗,提出一种改变视频码流的HEVC解码复杂度感知算法,以降低解码复杂度,并限制编码效率的影响。确定解码复杂性,视频质量和比特率的比例,再通过解码复杂度感知算法,生成解码复杂度-码率-失真模型优化的HEVC比特流。与HM16.0和OpenHEVC解码器实现相比,该算法产生的比特流在相同视频质量下分别降低了29.19%和13.24%的解码复杂度,编码效率影响最小。相比于HM16.0编码,该算法能耗减少了15%。 展开更多
关键词 无人战车 解码能耗 能耗优化 复杂度-码率-失真模型 hevc
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Separate Source Channel Coding Is Still What You Need:An LLM-Based Rethinking
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作者 REN Tianqi LI Rongpeng +5 位作者 ZHAO Mingmin CHEN Xianfu LIU Guangyi YANG Yang ZHAO Zhifeng ZHANG Honggang 《ZTE Communications》 2025年第1期30-44,共15页
Along with the proliferating research interest in semantic communication(Sem Com),joint source channel coding(JSCC)has dominated the attention due to the widely assumed existence in efficiently delivering information ... Along with the proliferating research interest in semantic communication(Sem Com),joint source channel coding(JSCC)has dominated the attention due to the widely assumed existence in efficiently delivering information semantics.Nevertheless,this paper challenges the conventional JSCC paradigm and advocates for adopting separate source channel coding(SSCC)to enjoy a more underlying degree of freedom for optimization.We demonstrate that SSCC,after leveraging the strengths of the Large Language Model(LLM)for source coding and Error Correction Code Transformer(ECCT)complemented for channel coding,offers superior performance over JSCC.Our proposed framework also effectively highlights the compatibility challenges between Sem Com approaches and digital communication systems,particularly concerning the resource costs associated with the transmission of high-precision floating point numbers.Through comprehensive evaluations,we establish that assisted by LLM-based compression and ECCT-enhanced error correction,SSCC remains a viable and effective solution for modern communication systems.In other words,separate source channel coding is still what we need. 展开更多
关键词 separate source channel coding(SSCC) joint source channel coding(JSCC) end-to-end communication system Large Language Model(LLM) lossless text compression Error Correction Code Transformer(ECCT)
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Broadband polarization-independent terahertz multifunctional liquid crystal coding metasurface based on topological optimization
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作者 Yu Chen Wu-Hao Cao +4 位作者 Jia-Qi Li Ming-Zhe Zhang Xin-Yi Du Ding-Shan Gao Pei-Li Li 《Chinese Physics B》 2025年第4期432-440,共9页
A broadband polarization-independent terahertz multifunctional coding metasurface based on topological optimization using liquid crystal(LC)is proposed.The metasurface can achieve reconfigurability for beam steering a... A broadband polarization-independent terahertz multifunctional coding metasurface based on topological optimization using liquid crystal(LC)is proposed.The metasurface can achieve reconfigurability for beam steering and vortex beam generation within a frequency range of 0.68 THz–0.72 THz.Firstly,the metasurface unit is topologically optimized using the non-dominant sequencing genetic algorithms(NSGA-II)multi-objective optimization algorithm.By applying the LC’s electrically tunable refractive index properties,the metasurface unit enables polarization-independent 2-bit coding within a frequency range of 0.68 THz–0.72 THz.Then,based on the designed metasurface unit,the array arrangement of the metasurface is reverse-designed to achieve beam steering and vortex beam generation.The results show that,for beam steering,not only can polarization-independent steering of both single-and multi-beam be achieved within the 35°elevation angle range,but also independent control of the target angle of each beam in the multi-beam steering.For vortex beam generation,the metasurfaces can achieve the generation of single-and multi-vortex beams with topological charges l=±1,±2 within the 35elevation angle range,and the generation angles of each vortex beam in the multi-vortex beam can be independently controlled.This provides flexibility and diversity in the generation of vortex beams.Therefore,the proposed terahertz LC metasurface can realize flexible control of reconfigurable functions and has certain application prospects in terahertz communication,phased array radar,and vortex radar. 展开更多
关键词 coding metasurfaces polarization-independent TERAHERTZ topology optimization
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Text-and-Timbre-Based Speech Semantic Coding for Ultra-Low-Bitrate Communications
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作者 Yang Xiaoniu Qian Liping +2 位作者 Lyu Sikai Wang Qian Wang Wei 《China Communications》 2025年第1期7-24,共18页
To address the contradiction between the explosive growth of wireless data and the limited spectrum resources,semantic communication has been emerging as a promising communication paradigm.In this paper,we thus design... To address the contradiction between the explosive growth of wireless data and the limited spectrum resources,semantic communication has been emerging as a promising communication paradigm.In this paper,we thus design a speech semantic coded communication system,referred to as Deep-STS(i.e.,Deep-learning based Speech To Speech),for the lowbandwidth speech communication.Specifically,we first deeply compress the speech data through extracting the textual information from the speech based on the conformer encoder and connectionist temporal classification decoder at the transmitter side of Deep-STS system.In order to facilitate the final speech timbre recovery,we also extract the short-term timbre feature of speech signals only for the starting 2s duration by the long short-term memory network.Then,the Reed-Solomon coding and hybrid automatic repeat request protocol are applied to improve the reliability of transmitting the extracted text and timbre feature over the wireless channel.Third,we reconstruct the speech signal by the mel spectrogram prediction network and vocoder,when the extracted text is received along with the timbre feature at the receiver of Deep-STS system.Finally,we develop the demo system based on the USRP and GNU radio for the performance evaluation of Deep-STS.Numerical results show that the ac-Received:Jan.17,2024 Revised:Jun.12,2024 Editor:Niu Kai curacy of text extraction approaches 95%,and the mel cepstral distortion between the recovered speech signal and the original one in the spectrum domain is less than 10.Furthermore,the experimental results show that the proposed Deep-STS system can reduce the total delay of speech communication by 85%on average compared to the G.723 coding at the transmission rate of 5.4 kbps.More importantly,the coding rate of the proposed Deep-STS system is extremely low,only 0.2 kbps for continuous speech communication.It is worth noting that the Deep-STS with lower coding rate can support the low-zero-power speech communication,unveiling a new era in ultra-efficient coded communications. 展开更多
关键词 low coding rate semantic communication speech recognition speech synthesis
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Mask-coding-assisted continuous-variable quantum direct communication with orbital angular momentum multiplexing
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作者 Zhengwen Cao Yujie Wang +2 位作者 Geng Chai Xinlei Chen Yuan Lu 《Chinese Physics B》 2025年第2期64-72,共9页
Quantum secure direct communication(QSDC) is a communication method based on quantum mechanics and it is used to transmit secret messages. Unlike quantum key distribution, secret messages can be transmitted directly o... Quantum secure direct communication(QSDC) is a communication method based on quantum mechanics and it is used to transmit secret messages. Unlike quantum key distribution, secret messages can be transmitted directly on a quantum channel with QSDC. Higher channel capacity and noise suppression capabilities are key to achieving longdistance quantum communication. Here, we report a continuous-variable QSDC scheme based on mask-coding and orbital angular momentum, in which the mask-coding is employed to protect the security of the transmitting messages and to suppress the influence of excess noise. The combination of orbital angular momentum and information block transmission effectively improves the secrecy capacity. In the 800 information blocks ×1310 bits length 10-km experiment, the results show a statistical average bit error rate of 0.38%, a system excess noise value of 0.0184 SNU, and a final secrecy capacity of 6.319×10~6 bps. Therefore, this scheme reduces error bits while increasing secrecy capacity, providing a solution for long-distance large-scale quantum communication, which is capable of transmitting text, images and other information of reasonable size. 展开更多
关键词 continuous-variable quantum direct communication orbital angular momentum mask coding
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Low Complexity Successive Cancellation List Decoding of U-UV Codes
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作者 Chen Wenhao Chen Li +1 位作者 Lin Jingyu Zhang Huazi 《China Communications》 2025年第1期41-60,共20页
Constituted by BCH component codes and its ordered statistics decoding(OSD),the successive cancellation list(SCL)decoding of U-UV structural codes can provide competent error-correction performance in the short-to-med... Constituted by BCH component codes and its ordered statistics decoding(OSD),the successive cancellation list(SCL)decoding of U-UV structural codes can provide competent error-correction performance in the short-to-medium length regime.However,this list decoding complexity becomes formidable as the decoding output list size increases.This is primarily incurred by the OSD.Addressing this challenge,this paper proposes the low complexity SCL decoding through reducing the complexity of component code decoding,and pruning the redundant SCL decoding paths.For the former,an efficient skipping rule is introduced for the OSD so that the higher order decoding can be skipped when they are not possible to provide a more likely codeword candidate.It is further extended to the OSD variant,the box-andmatch algorithm(BMA),in facilitating the component code decoding.Moreover,through estimating the correlation distance lower bounds(CDLBs)of the component code decoding outputs,a path pruning(PP)-SCL decoding is proposed to further facilitate the decoding of U-UV codes.In particular,its integration with the improved OSD and BMA is discussed.Simulation results show that significant complexity reduction can be achieved.Consequently,the U-UV codes can outperform the cyclic redundancy check(CRC)-polar codes with a similar decoding complexity. 展开更多
关键词 ordered statistics decoding successive cancellation list decoding U-UV codes
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Correction: Silencing of the long non-coding RNA LINC00265triggers autophagy and apoptosis in lung cancer by reducingprotein stability of SIN3A oncogene
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作者 XIAOBI HUANG CHUNYUAN CHEN +9 位作者 YONGYANG CHEN HONGLIAN ZHOU YONGHUA CHEN ZHONG HUANG YULIU XIE BAIYANG LIU YUDONG GUO ZHIXIONG YANG GUANGHUA CHEN WENMEI SU 《Oncology Research》 2025年第5期1249-1250,共2页
In the article“Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene”(Oncology Research.2024,Vol.32,No.7,pp.1185–1195.doi:10.... In the article“Silencing of the long non-coding RNA LINC00265 triggers autophagy and apoptosis in lung cancer by reducing protein stability of SIN3A oncogene”(Oncology Research.2024,Vol.32,No.7,pp.1185–1195.doi:10.32604/or.2023.030771,https://www.techscience.com/or/v32n7/57163),an inadvertent error occurred during the compilation of Fig.3H.This needed corrections to ensure the accuracy and integrity of the data presented. 展开更多
关键词 lung cancer long non coding RNA reducing protein stability sin oncogene oncology AUTOPHAGY protein stability APOPTOSIS accuracy integrity SILENCING
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基于可变编码块流水的可重构HEVC帧内环路设计
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作者 夏馨缘 山蕊 +2 位作者 崔馨月 杨坤 廖望 《计算机应用与软件》 北大核心 2025年第4期107-113,165,共8页
高效视频编码标准(HEVC)硬件实现过程中,其高计算复杂度和高数据依赖性不仅阻碍了视频实时编码的性能,也带来了更高的资源消耗。通过分析帧内环路各个算法之间处理像素块时产生的数据/时序依赖关系,基于可变编码块流水的HEVC帧内环路可... 高效视频编码标准(HEVC)硬件实现过程中,其高计算复杂度和高数据依赖性不仅阻碍了视频实时编码的性能,也带来了更高的资源消耗。通过分析帧内环路各个算法之间处理像素块时产生的数据/时序依赖关系,基于可变编码块流水的HEVC帧内环路可重构阵列结构,各模块间采用邻接互连接口完成握手通信,实现整个帧内环路编码块之间流水处理,提高帧内环路的计算效率。实验结果表明,所提方法在满足计算速度与硬件资源要求的同时,与基于串行的帧内环路编码处理电路相比,执行时间减少了87%,时钟频率达125 MHz。 展开更多
关键词 可变编码块流水 可重构阵列处理器 高效视频编码 帧内环路 邻接互连
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HEVC视频加密技术综述
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作者 叶清 刘小兵 +2 位作者 荣里 何俊霏 张乔嘉 《通信学报》 EI CSCD 北大核心 2024年第7期206-222,共17页
针对视频数据在传输和存储过程中存在被非法获取和恶意破坏的问题,从高效视频编码(HEVC)标准和加密技术出发,对HEVC视频编码标准下的加密技术进行综述。回顾了视频编码技术的发展历程,介绍了HEVC视频编码标准,讨论了视频加密技术常见攻... 针对视频数据在传输和存储过程中存在被非法获取和恶意破坏的问题,从高效视频编码(HEVC)标准和加密技术出发,对HEVC视频编码标准下的加密技术进行综述。回顾了视频编码技术的发展历程,介绍了HEVC视频编码标准,讨论了视频加密技术常见攻击方法及性能评估指标,全面梳理与详细分析了不同视频加密技术性能及其优缺点,展望了视频加密技术的发展趋势,旨在为视频加密技术的研究和应用提供参考。 展开更多
关键词 高效视频编码 加密 感兴趣区域 帧内预测模式 运动矢量差 熵编码
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基于深度学习的HEVC编码复杂度优化方法
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作者 沈玉志 金雪莹 李天一 《辽宁工程技术大学学报(自然科学版)》 CAS 北大核心 2024年第3期351-358,共8页
为降低高效率视频编码(HEVC)的计算复杂度,提出一种基于深度学习的复杂度优化方法。构建大规模编码单元(CU)划分数据库,为算法设计和神经网络训练提供数据基础;设计一种适用于HEVC的CU划分图模型,高效表征多个邻近CU的划分模式;在此基础... 为降低高效率视频编码(HEVC)的计算复杂度,提出一种基于深度学习的复杂度优化方法。构建大规模编码单元(CU)划分数据库,为算法设计和神经网络训练提供数据基础;设计一种适用于HEVC的CU划分图模型,高效表征多个邻近CU的划分模式;在此基础上,提出一种基于稠密网络的分层卷积神经网络结构,准确预测HEVC中的三级CU划分结果。实验结果表明:该方法能够在保证编码效率前提下,平均节省57%的编码时间,有效解决了HEVC编码复杂度过高的瓶颈。 展开更多
关键词 高效率视频编码 复杂度优化 编码单元 深度学习 稠密网络
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Deeply pipelined interpolation architecture for full ultra-HD H.265/HEVC video encoding 被引量:1
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作者 Ding Dandan Gui Kai +2 位作者 Ye Xin Liu Fuchang Pan Zhigeng 《High Technology Letters》 EI CAS 2019年第1期28-34,共7页
Fractional motion estimation(FME) improves the video encoding efficiency significantly. However, its high computational complexity limits the real-time processing capability. Therefore, it is a key problem to reduce t... Fractional motion estimation(FME) improves the video encoding efficiency significantly. However, its high computational complexity limits the real-time processing capability. Therefore, it is a key problem to reduce the implementation complexity of FME, especially in hardware design. This paper presents a novel deeply pipelined interpolation architecture of FME for the real-time realization of H.265/HEVC full Ultra-HD video encoder. First, a pipelined interpolation architecture together with an elegant processing order is proposed to deal with different search positions in parallel without pipeline stall and data conflict. Second, interpolation results sharing strategies are exploited among search positions to reduce the memory cost. Finally, the structure of the interpolation filter is further optimized for an area efficient implementation. As a result, the proposed design costs 41 917 slice LUTs on the Xilinx Kintex-7 FPGA platform with a 308 MHz working frequency. The measured throughput reaches a record of 1.238 Gpixels/s, which is sufficient for the real-time encoding of 8192×4320@ 30 fps video. 展开更多
关键词 fractional motion estimation(FME) INTERPOLATION pipeline H.265/hevc full Ultra-HD
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Screen Content Coding in HEVC and Beyond
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作者 LIN Tao ZHAO Liping ZHOU Kailun 《ZTE Communications》 2016年第B06期51-58,共8页
1 IntroductionThe screen content coding (SCC) standard [1] for high efficiency video coding (HEVC) is an international standard specially developed for screen content.
关键词 hevc AVS Screen Content coding String Matching VIDEOcoding
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控制失真漂移的HEVC视频自适应隐写算法
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作者 朱燕彬 徐达文 《计算机应用研究》 CSCD 北大核心 2024年第8期2508-2514,共7页
现有自适应视频隐写的成本分配方法主要针对特定变换系数,导致容量较低。此外,失真漂移是HEVC(high efficiency video coding)视频隐写面临的一大挑战。因此,结合HEVC视频编码的帧内帧间过程,提出了一种代价分配方法,以实现高容量、低... 现有自适应视频隐写的成本分配方法主要针对特定变换系数,导致容量较低。此外,失真漂移是HEVC(high efficiency video coding)视频隐写面临的一大挑战。因此,结合HEVC视频编码的帧内帧间过程,提出了一种代价分配方法,以实现高容量、低失真传递的高性能视频自适应隐写。首先,该方法针对HEVC视频编码中的离散正弦变换特征进行研究,分析了这些系数在受到扰动后所产生的误差传播规律。在嵌入过程中,对修改变换系数导致的块内失真、块间失真、帧间失真进行了详细分析,并考虑不同块隐写产生的块间失真差异对块进行分类。该算法充分利用所有的非零变换系数,为不同的载体系数分配了不同的失真代价,将隐秘信息嵌入到对视频质量影响较小的帧中。实验结果表明,与现有的HEVC视频系数域隐写方法相比,该算法在视频码率、视频质量和嵌入容量方面具有一定的优势。 展开更多
关键词 自适应视频隐写 失真漂移 hevc
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Multi-Layer Extension of the High Efficiency Video Coding(HEVC) Standard
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作者 Ming Li Ping Wu 《ZTE Communications》 2016年第1期19-23,共5页
Multi?layer extension is based on single?layer design of High Efficiency Video Coding (HEVC) standard and employed as the com?mon structure for scalability and multi?view video coding extensions of HEVC. In this paper... Multi?layer extension is based on single?layer design of High Efficiency Video Coding (HEVC) standard and employed as the com?mon structure for scalability and multi?view video coding extensions of HEVC. In this paper, an overview of multi?layer extension is presented. The concepts and advantages of multi?layer extension are briefly described. High level syntax (HLS) for multi?layer extension and several new designs are also detailed. 展开更多
关键词 hevc multi-layer extension
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基于卷积神经网络的HEVC帧内预测算法优化 被引量:1
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作者 李轩 冷雨馨 《现代电子技术》 北大核心 2024年第11期69-77,共9页
作为HEVC标准中最基础、最重要的技术之一,帧内预测对实现视频编码的高速、高质量和高压缩率具有重要的作用。文中针对帧内预测复杂性问题进行研究,提出一种基于深度卷积神经网络(CNN)的方法,通过学习来预测CTU的划分,从而减少HEVC帧内... 作为HEVC标准中最基础、最重要的技术之一,帧内预测对实现视频编码的高速、高质量和高压缩率具有重要的作用。文中针对帧内预测复杂性问题进行研究,提出一种基于深度卷积神经网络(CNN)的方法,通过学习来预测CTU的划分,从而减少HEVC帧内编码的复杂性。通过建立一个大规模的CTU划分数据库,并利用CNN的能力学习各种CTU划分模式,能够准确地预测CTU的划分,从而避免了传统的穷举搜索,实现了HEVC编码复杂性的显著降低,提高了编码效率。实验结果表明,提出的方法在测试序列和图像上分别将帧内编码时间减少了62.25%和69.06%,与其他最先进的方法相比,比特率分别仅增加了2.12%和1.13%,达到了优化的目的。 展开更多
关键词 高效视频编码 帧内预测编码 卷积神经网络 深度学习 编码单元 深度决策 编码块分割
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基于神经网络的HEVC帧间预测方法及其硬件研究
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作者 陶乐溪 施隆照 《中国集成电路》 2024年第4期75-81,共7页
相比于H.264,高效视频编码标准(HEVC)提出了许多新技术,提高了编码性能,但是也显著提高了编码复杂度。本文从硬件实现的角度出发,对已有的帧间CU划分预测神经网络的结构进行了多方面的优化,使其参数减少了70%,加法和乘法运算分别减少了... 相比于H.264,高效视频编码标准(HEVC)提出了许多新技术,提高了编码性能,但是也显著提高了编码复杂度。本文从硬件实现的角度出发,对已有的帧间CU划分预测神经网络的结构进行了多方面的优化,使其参数减少了70%,加法和乘法运算分别减少了60%、58.2%。并对优化后的卷积神经网络参数采用10位定点数方案进行定点化处理,进一步有效减少硬件资源的开支。对比于HEVC参考软件(HM16.5),优化后网络引起的BD-BR和BD-PSNR平均损失为1.718%和-0.056dB,平均节省35%~52%的编码复杂度,并且定点化处理后引起的性能损失可忽略不计。 展开更多
关键词 hevc 帧间预测 卷积神经网络 低复杂度 神经网络定点化
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基于阵列处理器的HEVC数据流图可重构实现
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作者 胡传瞻 蒋林 +3 位作者 朱筠 谢晓燕 杨坤 崔馨月 《计算机应用与软件》 北大核心 2024年第3期240-245,257,共7页
提出一种基于阵列处理器的HEVC算法数据流图可重构实现方法。基于动态重构机制完成不同的划分方式、算法间的灵活切换,采用深度优先贪婪对数据流图划分后子任务时域流水的并行方式对HEVC中典型编码算法的数据流图重新划分后设计合理映... 提出一种基于阵列处理器的HEVC算法数据流图可重构实现方法。基于动态重构机制完成不同的划分方式、算法间的灵活切换,采用深度优先贪婪对数据流图划分后子任务时域流水的并行方式对HEVC中典型编码算法的数据流图重新划分后设计合理映射方案,以Sobel算子值为重构依据在阵列处理器上进行帧内预测算法验证。实验结果表明,与块间流水方案实现相比加速比可达14.97,各算法资源利用率及计算速度均有提升,与帧内预测模式选择快速算法相比每个时钟周期可多处理7.1个像素。 展开更多
关键词 数据流图 hevc 深度优先贪婪 可重构阵列处理器
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基于人眼显著性区域检测的HEVC码率控制算法
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作者 亢润龙 《科技创新与应用》 2024年第34期11-17,共7页
该文提出一种新的码率控制算法,基于人眼显著性区域的检测,以优化视频编码效率。该算法利用像素级的恰可感知失真(JND)模型,精准预测人眼对图像失真感知的阈值。通过分析相邻帧间的像素值变化,识别出图像中的显著性区域,并基于JND模型... 该文提出一种新的码率控制算法,基于人眼显著性区域的检测,以优化视频编码效率。该算法利用像素级的恰可感知失真(JND)模型,精准预测人眼对图像失真感知的阈值。通过分析相邻帧间的像素值变化,识别出图像中的显著性区域,并基于JND模型进一步细分这些区域。通过构建一个多级码率分配框架,以指导不同区域的码率分配。实验结果显示,在低码率环境下,该算法能够显著提升显著性区域的视觉质量,同时保持码率控制的精确性。相比现有的HM16.9算法,在码率精确性基本不变的情况下,该文算法的BD-Rate下降0.028 9%,BD-PSNR提升0.001 6%,多个测试序列的结构相似性△SSIM平均提升0.000 69。 展开更多
关键词 hevc 显著性区域 码率控制 恰可感知失真模型 原始图像
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