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標題: Titlebook: Digital Multimedia Communications; 19th International F Guangtao Zhai,Jun Zhou,Jia Wang Conference proceedings 2023 The Editor(s) (if appli [打印本頁]

作者: Intermediary    時間: 2025-3-21 19:36
書目名稱Digital Multimedia Communications影響因子(影響力)




書目名稱Digital Multimedia Communications影響因子(影響力)學(xué)科排名




書目名稱Digital Multimedia Communications網(wǎng)絡(luò)公開度




書目名稱Digital Multimedia Communications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Multimedia Communications被引頻次




書目名稱Digital Multimedia Communications被引頻次學(xué)科排名




書目名稱Digital Multimedia Communications年度引用




書目名稱Digital Multimedia Communications年度引用學(xué)科排名




書目名稱Digital Multimedia Communications讀者反饋




書目名稱Digital Multimedia Communications讀者反饋學(xué)科排名





作者: 勤勉    時間: 2025-3-21 21:05
1865-0929 nized in topical sections as follows: Computer Vision; Image Analysis; Quality Assessment; Video Processing; Machine Learning; and Big data..978-981-99-0855-4978-981-99-0856-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
作者: BLINK    時間: 2025-3-22 03:48

作者: coagulate    時間: 2025-3-22 06:43
Parameters, Scales and Geostrophic Balance and the CNN structure can provide additional local information to the transformer. The fusion of global information and local information is conducive to the second transfer encoder to make better decisions. Experiments results on large-size dataset for industrial smoke detection illustrate the effectiveness of the proposed model.
作者: 脆弱帶來    時間: 2025-3-22 10:39

作者: 違抗    時間: 2025-3-22 15:48
John Vince MTech, PhD, DSc, CEng, FBCSmage. Then we design a novel Kernel Fast Fourier Convolution (KFFC) to filter the image feature of the transitional image with the raw blur kernel in the frequency domain. Extensive experiments show that our methods achieve favorable and robust results.
作者: 違抗    時間: 2025-3-22 20:41
Errata,hts of features at different scales. We conduct extensive experiments on Hubei water dataset we constructed, The results show the framework effectively improves the accuracy of water segmentation and greatly improves the visual effect of segmentation, which is 5.9% higher in self-made dataset with advanced methods.
作者: 周年紀念日    時間: 2025-3-23 00:16
Pedestrian Re-recognition Based on?Memory Network and?Graph Structuresults shows that the Rank 1 of the GCPRN network on iLIDS Video re-identification (iLIDS-VID) dataset reaches . and Rank 5 reached ., surpassing the Unsupervised Tracklet Association Learning (UTAL) and Temporal Knowledge Propagation (TKP) algorithm that reached a high level on the iLIDS-VID dataset.
作者: conifer    時間: 2025-3-23 04:15

作者: SYN    時間: 2025-3-23 07:53
Feature Adaptation Predictive Coding for Quantized Block Compressive Sensing of COVID-19 X-Ray Imageet. The proposed method can implement the high-efficiency encoding of X-ray images, and then swiftly transmit the telemedicine-oriented chest images. The experimental results show that compared with the state-of-the-art predictive coding methods, both rate-distortion and complexity performance of our FAPC method have enough competitive advantages.
作者: 羊欄    時間: 2025-3-23 12:25
Deep Fourier Kernel Exploitation in?Blind Image Super-Resolutionmage. Then we design a novel Kernel Fast Fourier Convolution (KFFC) to filter the image feature of the transitional image with the raw blur kernel in the frequency domain. Extensive experiments show that our methods achieve favorable and robust results.
作者: 縱欲    時間: 2025-3-23 17:43
Water Segmentation via?Asymmetric Multiscale Interaction Networkhts of features at different scales. We conduct extensive experiments on Hubei water dataset we constructed, The results show the framework effectively improves the accuracy of water segmentation and greatly improves the visual effect of segmentation, which is 5.9% higher in self-made dataset with advanced methods.
作者: 拍翅    時間: 2025-3-23 21:42

作者: Bureaucracy    時間: 2025-3-24 01:57

作者: Valves    時間: 2025-3-24 04:18
FPGA-Based Hardware Implementation of?JPEG XS Encoderigned hardware architecture is suitable to be implemented using Xilinx HLS Tool and operates at 196?MHz on Alveo U50, achieving encoding speed of 8K 42?fps. The restored images usually yield a PSNR over 50 dB when bitrate is larger than 8.0 bpp.
作者: 無彈性    時間: 2025-3-24 08:35

作者: 有害處    時間: 2025-3-24 13:00
Conference proceedings 2023hina, December 8–9, 2022..The 40 full papers included in this book were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows: Computer Vision; Image Analysis; Quality Assessment; Video Processing; Machine Learning; and Big data..
作者: 貴族    時間: 2025-3-24 18:52
Pedestrian Re-recognition Based on?Memory Network and?Graph Structureused in the existing literature will produce gradient disappearance and gradient explosion when the video sequence is long. Then, we propose a Person Re-identification Network with ConvLSTM (CLPRN) network based on convolutional long and short-term memory networks to solve the short-term memory prob
作者: decode    時間: 2025-3-24 22:25
Pedestrian Attribute Recognition Method Based on Multi-source Teacher Model Fusionn models trained on the public datasets have poor generalization ability and cannot be applied to complex scenarios. Also, through the traditional multi-label classification framework and a single network model, it is difficult for different attribute features to be effectively represented and fused
作者: harrow    時間: 2025-3-24 23:27
Dense 3D Reconstruction of?Non-cooperative Target Based on?Pose Measurement reconstruction method combining pose measurement and dense reconstruction. Firstly, based on the depth camera, the Iterative Closest Point (ICP) algorithm is used to realize the pose measurement between each frame of the non-cooperative target. Then, the loopback detection based on the bag-of-words
作者: 人類的發(fā)源    時間: 2025-3-25 05:22
River Turbidity Monitoring Based on?Semi-supervised Transfer Learningf the existing monitoring methods rely on turbidity labels measured by river water quality monitoring stations. However, due to the limitation of spatial distribution of water quality monitoring stations, those turbidity data outside the monitoring range are difficult to obtain and the correlation o
作者: 亞當(dāng)心理陰影    時間: 2025-3-25 10:45

作者: 盤旋    時間: 2025-3-25 15:01

作者: Venules    時間: 2025-3-25 19:11

作者: agnostic    時間: 2025-3-25 20:29
Bit-Depth Enhancement with?Distortion Sensitivityepth enhancement (BDE) methods. Despite the recent progress, current BDE works cannot entirely remove false contours and color shifts as they focus on the overall image quality while leaving these visually sensitive distorted regions uncared. Thus, in this paper, we propose a bit-depth enhancement a
作者: 燒瓶    時間: 2025-3-26 00:53

作者: investigate    時間: 2025-3-26 06:55
Generative Model Watermarking Based on?Human Visual Systemwatermarking to generative models for image processing. However, the existing watermarking methods designed for generative models do not take into account the effects of different channels of sample images on watermarking. As a result, the watermarking performance is still limited. To tackle this pr
作者: indifferent    時間: 2025-3-26 09:24
Feature Adaptation Predictive Coding for Quantized Block Compressive Sensing of COVID-19 X-Ray Imagemportant role when remotely acquiring the chest X-ray images of COVID-19 infected people and significantly promoting the portable telemedicine imaging applications. In order to improve the encoding performance of quantized block compressive sensing, a feature adaptation predictive coding (FAPC) meth
作者: CORE    時間: 2025-3-26 13:14

作者: 領(lǐng)先    時間: 2025-3-26 18:13

作者: Obvious    時間: 2025-3-27 00:01
FPGA-Based Hardware Implementation of?JPEG XS Encoderency. It is designed extremely parallelizable and simple to implement on modern CPU, GPU, FPGA and ASIC. This paper proposes an efficient hardware JPEG XS encoder implementation. In this design, JPEG XS encoder is clearly decoupled into sub-modules that are pipelined and parallelized to effectively
作者: 慢慢啃    時間: 2025-3-27 05:10

作者: 種植,培養(yǎng)    時間: 2025-3-27 06:46

作者: 雄偉    時間: 2025-3-27 10:44

作者: Crater    時間: 2025-3-27 14:31

作者: SPURN    時間: 2025-3-27 18:45
River Turbidity Monitoring Based on?Semi-supervised Transfer Learningo solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is s
作者: MAPLE    時間: 2025-3-28 01:52

作者: 流逝    時間: 2025-3-28 06:03
A Generic Image Feature Extraction Method Towards Multiple Vision Taskse proposed feature migration model with image classification as the secondary task can improve the mAP (mean average precision) of the target detection by 5.5%, and the feature migration model with target detection as the secondary task can improve the average accuracy of the image classification by
作者: 匍匐    時間: 2025-3-28 07:59

作者: 流逝    時間: 2025-3-28 11:14
Bit-Depth Enhancement with?Distortion Sensitivitysigned to leverage the predicted distortion as well as its gradient at different scales. Experimental results on two widely used datasets demonstrate the superiority of the proposed methods compared with state-of-the-art methods.
作者: Ancestor    時間: 2025-3-28 17:48

作者: CAND    時間: 2025-3-28 21:13

作者: Incommensurate    時間: 2025-3-29 01:36
Hermann Suida,Heinrich Salvaterraoop model optimization. Tested on four common PAR benchmark datasets, experimental results show that under the condition that the complexity of the model is unchanged, the mean accuracy is improved by 2% to 5%, compared with the baseline model.
作者: 十字架    時間: 2025-3-29 06:59

作者: 繁榮地區(qū)    時間: 2025-3-29 09:29
https://doi.org/10.1007/978-4-431-67917-2o solve the problem of weakened model generalization ability. Then, the model is fine-tuned using GEE hyper spectral data with ground truth to further improve the monitoring capability of the model. Experiments conducted on the river turbidity monitoring task demonstrate that the proposed model is s
作者: CANON    時間: 2025-3-29 15:01

作者: endarterectomy    時間: 2025-3-29 18:06
Basic Design Criteria for Rotary Blood Pumpse proposed feature migration model with image classification as the secondary task can improve the mAP (mean average precision) of the target detection by 5.5%, and the feature migration model with target detection as the secondary task can improve the average accuracy of the image classification by
作者: Cryptic    時間: 2025-3-29 21:54
Parameters, Scales and Geostrophic Balanceaper, which enables the model to obtain an approximate fully supervised performance on point labels. The experiments were compared with the current state-of-the-art (SOTA) point label segmentation methods on the COVID-19-CT-Seg dataset, and our model showed a large improvement: IoU improved by 28.85
作者: 條街道往前推    時間: 2025-3-30 02:51
Concepts and Examples of Rotating Fluidssigned to leverage the predicted distortion as well as its gradient at different scales. Experimental results on two widely used datasets demonstrate the superiority of the proposed methods compared with state-of-the-art methods.
作者: helper-T-cells    時間: 2025-3-30 06:40
Dynamics of Fronts and Frontal Instabilitycolor space, the watermark is embedded into the DCT domain of U and V channels based on the fact that HVS is more sensitive to brightness changes. Experimental results demonstrate the effectiveness of the proposed work, which improves the fidelity of the model to be protected and has good universali
作者: WAX    時間: 2025-3-30 12:01
John Vince MTech, PhD, DSc, CEng, FBCS channel attention mechanism, which can progressively infer attention weights more accurately through the pyramid structure. The experimental results on benchmark datasets demonstrate the superiority of PCA-AMCN in comparison with other state-of-the-art methods.
作者: Amylase    時間: 2025-3-30 14:07

作者: Engaging    時間: 2025-3-30 18:35

作者: 核心    時間: 2025-3-30 20:48
Hermann Suida,Heinrich Salvaterran models trained on the public datasets have poor generalization ability and cannot be applied to complex scenarios. Also, through the traditional multi-label classification framework and a single network model, it is difficult for different attribute features to be effectively represented and fused
作者: 高度表    時間: 2025-3-31 03:13

作者: ASSAY    時間: 2025-3-31 06:22

作者: 他一致    時間: 2025-3-31 11:02





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