9201.
9202.
9203.
5G,8K视频等新业务类型不断涌现,使得网络处理器（network processor,NP）的应用场景日趋复杂多样. 为满足多样化网络应用在性能、灵活性以及服务质量保证等方面的差异化需求,传统NP试图在片上系统（system on chip,SoC）上集成大量处理器核、高速缓存、加速器等异质处理资源,提供面向多样化应用场景的敏捷可定制能力. 然而,随着摩尔定律和登纳德缩放定律失效问题的逐渐凸显,单片NP芯片研制在研发周期、成本、创新迭代等方面面临巨大挑战,越来越难以为继. 针对上述问题,提出新型敏捷可定制NP架构ChipletNP,基于芯粒化（Chiplet）技术解耦异质资源,在充分利用成熟芯片产品及工艺的基础上,通过多个芯粒组合,满足不同应用场景下NP的快速定制和演化发展需求. 基于ChipletNP设计实现了一款集成商用CPU、FPGA（field programmable gate array）和自研敏捷交换芯粒的银河衡芯敏捷NP芯片（YHHX-NP）. 基于该芯片的应用部署与实验结果表明,ChipletNP可支持NP的快速敏捷定制,能够有效承载SRv6（segment routing over IPv6）等新型网络协议与网络功能部署. 其中,核心的敏捷交换芯粒相较于同级商用芯片能效比提升2倍以上,延迟控制在2.82 µs以内,可以有效支持面向NP的Chiplet统一通信与集成.
… … 相似文献9204.
9205.
ObjectiveSkeletal motion retargeting is a key technology that involves adapting skeletal motion data from a source character, after suitable… … 相似文献
《中国图象图形学报》2024,29(12):3712-3726
9206.
ObjectiveIn recent years, with the development of the internet and computer technology, manipulating images and changing their content have become trivial tasks. Therefore, robust image tampering detection methods need to be developed. As passive forensic methods, image forgery methods can be categorized into copy-move, splicing, and inpainting methods. Copy-move involves copying part of the original image to another part of the same image. Many excellent copy-move forgery detection （CMFD） methods have been developed in recent years and can be categorized into block-based, keypoint-based, and deep learning methods. However, these methods have the following drawbacks： 1） they cannot easily detect small or smooth tampered regions; 2） a massive number of features leads to a high computational cost; and 3） false alarm rates are high when the tampered images involve self-similar regions. To solve these issues, a novel CMFD method based on matched pairs, namely, density-based spatial clustering of applications with noise （MP-DBSCAN）, is proposed in this paper along with point density filtering.MethodFirst, a large number of scale-invariant feature transform （SIFT） keypoints are extracted from the input image by lowering the contrast threshold and normalizing the image scale, thus allowing the detection of a sufficient number of keypoints in small and smooth regions. Second, the generalized two nearest neighbor （G2NN） matching strategy is employed to manage multiple keypoint matching, thus allowing the detection algorithm to perform smoothly even when the tampered region has been copied multiple times. A hierarchical matching strategy is then adopted to solve keypoint matching problems involving a massive number of keypoints. To accelerate the matching process, keypoints are initially grouped by their grayscale values, and then the G2NN matching strategy is applied to each group instead of the keypoints detected from the entire image. The efficiency and accuracy of the matching procedure can be improved without deleting the correct matched pairs. Third, an improved clustering algorithm called MP-DBSCAN is proposed. The matched pairs are grouped into different tampered regions, and the direction of the matched pairs are adjusted before the clustering process. The cluster objects only represent one side of the matched pairs and not all the extracted keypoints, and the keypoints from the other side are used as constraints in the clustering process. A satisfying detection result is obtained even when the tampered regions are close to one another. The proposed method obtains better F 1 measures compared with the state-of-the-art copy-move forgery detection methods. Fourth, the prior regions are constructed based on the clustering results. These prior regions can be regarded as the approximate tampered regions. A point density filtering policy is also proposed, where each point density of the region is calculated and the region with the lowest point density is deleted to reduce the false alarm rate. Finally, the tampered regions are located accurately using the affine transforms and the zero-mean normalized cross-correlation （ZNCC） algorithm.ResultThe proposed method is compared with the state-of-the-art CMFD methods on four standard datasets, including FAU, MICC-F600, GRIP, and CASIA v2.0. Provided by Christlein, the FAU dataset has an average resolution of about 3 000 × 2 300 pixels and includes tampered images under post-processing operations （e.g., additional noise and JPEG compression） and various geometrical attacks （e.g., scaling and rotation）. This dataset involves 48, 480, 384, 432, and 240 plain copy-move, scaling, rotation, JPEG, and noise addition operations, respectively. The MICC-F600 dataset includes images in which a region is duplicated at least once. The resolutions of these images range from 800 × 533 to 3 888 × 2 592 pixels. Among the 600 images in this dataset, 440 are original images and 160 are forged images. The GRIP dataset includes 80 original images and 80 tampered images with a low resolution of 1 024 × 768 pixels. Some tampered regions on these images are very smooth or small. The size of the tampered regions ranges from about 4 000 to 50 000 pixels. The CASIA v2.0 dataset contains 7 491 authentic and 5 123 forged images, of which 1 313 images are forged using copy-move methods. Precision, recall, and F 1 scores are used as assessment criteria in the experiments. The F 1 scores of the proposed method on the FAU, MICC-F600, GRIP, and CASIA v2.0 datasets at the pixel level are 0.914 3, 0.890 6, 0.939 1, and 0.856 8, respectively. Extensive experimental results demonstrate the superior performance of the proposed method compared with the existing state-of-the-art methods. The effectiveness of the MP-DBSCAN algorithm and the point density filtering policy is also demonstrated via ablation studies.ConclusionTo detect tampered regions accurately, a novel CMFD method based on the MP-DBSCAN algorithm and the point density filtering policy is proposed in this paper. The matched pairs of an image can be divided into different tampered regions by using the MP-DBSCAN algorithm to detect these regions accurately. The mismatched pairs are then discarded by the point density filtering policy to reduce false alarm rates. Extensive experimental results demonstrate that the proposed method exhibits a satisfactory accuracy and robustness compared with the existing state-of-the-art methods.… … 相似文献
《中国图象图形学报》2024,29(12):3595-3611
9207.
9208.
9209.
区块链不可篡改的特性保证了链上数据的一致性,而链下数据可能在记录、存储、传输的过程中遭到破坏,这会造成链上和链下数据不一致的问题,进而极大地影响区块链技术的落地发展;因此,需要一些机制保证链上链下数据的一致性。针对链上和链下数据不一致的问题,总结目前的一些链上链下一致性保护技术。… … 相似文献
高婷婷;姚中原;贾淼;斯雪明 《计算机应用》2024,(12):3658-3668
9210.
9211.
视频异常行为检测作为计算机视觉的研究热点;通过提取视频内容时间和空间特征;判断视频中是否存在异常事件和事件种类;定位异常发生的区域和时间。以有监督/无监督学习为线索;对现有视频异常行为检测方法进行系统梳理和归纳。在有监督类方法中;细分为基于偏差均值计算方法和基于多模态方法;在无监… … 相似文献
《计算机科学与探索》2024,18(12)
9212.
9213.
9214.
在动态优化问题（DOP）中环境的变化可描述为不同类型的动态;动态优化算法（DOA）对环境的适应性十分重要。此外;DOA的局部和全局多样性损失是导致其开发和勘探能力下降的主因之一。在动态环境中保持局部和全局多样性可有效避免多样性损失。为此;提出一种基于搜索引导网络的粒子群优化算法（… … 相似文献
《计算机科学与探索》2024,18(12)
9215.
9216.
9217.
ObjectiveWith the rapid advancement of medical imaging technology, medical image segmentation has become a popular topic in the field of med… … 相似文献
《中国图象图形学报》2024,29(11):3462-3475
9218.
针对复杂任务环境下无人机（UAV）集群追击决策算法灵活性不足、泛化能力差等问题,提出一种基于轨迹预测的分布式多智能体深度确定性策略梯度（TP-DMADDPG）算法。首先,为增强追击任务的真实性,为目标机设计智能化逃逸策略;其次,考虑到因通信中断等原因导致的目标机信息缺失等情况,采… … 相似文献
王昱;关智慧;李远鹏 《计算机应用》2024,(11):3623-3628
9219.
9220.
针对无人机（UAV）航拍图像中目标场景复杂、目标尺度多样、小目标密集和目标遮挡严重的问题,提出一种多尺度空洞卷积的UAV图像目标检测算法Swin-Det。首先,采用Swin Transformer作为主干特征提取网络,并在主干网络中引入空间信息交融模块（SIBM）,从而解决因物体… … 相似文献
王林;刘景亮;王无为 《计算机应用》2024,(11):3595-3602
关于我们 |
广告服务 |
商务洽谈 |
联系我们 |
免责条款 |
隐私声明 |
网站导航
网站版权所有：中国科学院软件研究所 京ICP备09084417号-9
地址：北京海淀区中关村南四大街4号 邮编：100190 电话：010-62562563 E-mail ： cj_mail@jscas.ac.cn
本系统由:北京勤云科技发展有限公司提供技术支持
网站版权所有：中国科学院软件研究所 京ICP备09084417号-9
地址：北京海淀区中关村南四大街4号 邮编：100190 电话：010-62562563 E-mail ： cj_mail@jscas.ac.cn
本系统由:北京勤云科技发展有限公司提供技术支持
