检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,290 篇 会议
9 篇 期刊文献

馆藏范围

2,299 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,366 篇 工学
- 1,207 篇 计算机科学与技术...
- 699 篇 信息与通信工程
- 662 篇 软件工程
- 257 篇 电气工程
- 242 篇 光学工程
- 225 篇 控制科学与工程
- 192 篇 生物工程
- 131 篇 电子科学与技术（可...
- 96 篇 网络空间安全
- 91 篇 生物医学工程（可授...
- 58 篇 化学工程与技术
- 57 篇 仪器科学与技术
- 44 篇 安全科学与工程
- 40 篇 机械工程
- 37 篇 交通运输工程
- 35 篇 动力工程及工程热...
- 32 篇 石油与天然气工程
- 29 篇 建筑学
579 篇 理学
- 312 篇 物理学
- 196 篇 生物学
- 166 篇 数学
- 91 篇 化学
- 51 篇 统计学（可授理学、...
386 篇 医学
- 371 篇 临床医学
- 58 篇 基础医学(可授医学...
- 50 篇 药学(可授医学、理...
251 篇 管理学
- 142 篇 管理科学与工程(可...
- 125 篇 图书情报与档案管...
- 41 篇 工商管理
34 篇 法学
- 31 篇 社会学
28 篇 农学
14 篇 经济学
13 篇 文学
7 篇 教育学
5 篇 军事学

主题

393 篇 visual communica...
221 篇 image coding
141 篇 visualization
135 篇 image processing
130 篇 deep learning
122 篇 training
120 篇 feature extracti...
78 篇 semantics
72 篇 video coding
71 篇 image enhancemen...
71 篇 three-dimensiona...
70 篇 image segmentati...
58 篇 computer vision
55 篇 object detection
55 篇 neural networks
55 篇 convolution
55 篇 image reconstruc...
48 篇 image color anal...
47 篇 bit rate
45 篇 signal processin...

机构

26 篇 shanghai jiao to...
22 篇 institute of ima...
21 篇 university of sc...
20 篇 school of electr...
18 篇 shanghai jiao to...
15 篇 tianjin univ sch...
14 篇 national univers...
14 篇 the islamic univ...
14 篇 beijing universi...
13 篇 shenzhen interna...
11 篇 school of remote...
11 篇 peng cheng labor...
11 篇 shanghai jiao to...
10 篇 school of marine...
10 篇 university of el...
9 篇 zhejiang univers...
9 篇 school of artifi...
8 篇 purple mountain ...
8 篇 cas key laborato...
8 篇 tencent media la...

作者

29 篇 zhai guangtao
22 篇 li sumei
22 篇 sumei li
19 篇 guangtao zhai
19 篇 song li
19 篇 shan liu
18 篇 li li
17 篇 min xiongkuo
15 篇 zhenzhong chen
15 篇 andré kaup
13 篇 xie rong
13 篇 xiongkuo min
13 篇 xin jin
13 篇 dong liu
12 篇 li song
10 篇 heming sun
10 篇 sun heming
10 篇 sun wei
10 篇 zhibo chen
10 篇 zhu li

语言

2,280 篇 英文
19 篇 其他
8 篇 中文

检索条件"任意字段=2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023"

共 2299 条记录，以下是251-260 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Improved PSP-Net Segmentation Network for Automatic Detection of Neovascularization in Color Fundus images

Improved PSP-Net Segmentation Network for Automatic Detectio...

引用

ieee international conference on visual communications and image processing (vcip)

作者： Liu, Qiuming Wang, Shen Dai, Yulan Zhang, Jintao Wang, Yichen Zhou, Ruoxuan Jiangxi Univ Sci & Tech Sch Software Engn Ganzhou Jiangxi Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China Jiangxi Normal Univ Sch Comp Info Engn Nanchang Jiangxi Peoples R China Nanchang Key Lab Virtual Digital Factory & Cultur Nanchang Jiangxi Peoples R China

ISBN: (纸本)9781665475921

Proliferative Diabetic Retinopathy (PDR) is a serious retinal disease threatening diabetic patients. Intense retinal neovascularization in the retinal image is the most important clinical symptom of PDR, leading to visual distortion if not controlled. Accurate and timely detection of neovascularization from retinal images allows patients to receive adequate treatment to avoid further vision loss. In this work, we propose a retinal neovascularization automatic segmentation model based on improved Pyramid Scene Parsing Network (PSP-Net). To improve the accuracy of the model, we introduce the proposed channel attention module into the model. The network is evaluated with color fundus images from practice. Evaluation results show the network is superior to FCN, SegNet, U-Net and PSP-Net in accuracy and sensitivity. The model could achieve accuracy, sensitivity, specificity, precision and Jaccard similarity score of 0.9832, 0.9265, 0.9897, 0.9116 and 0.8501, respectively. This paper proves through plenty of experimental results that the network model is able to improve the accuracy of segmentation, relieve the workload of doctors, and is worthy of further clinical promotion.

关键词： fundus images image segmentation diabetic retinopath neovascularization deep learning

来源：评论

学校读者我要写书评

暂无评论

Diagnosis-oriented Medical image Compression with Efficient Transfer Learning

Diagnosis-oriented Medical Image Compression with Efficient ...

引用

2023 ieee international conference on visual communications and image processing, vcip 2023

作者： Xie, Guangqi Li, Xin Pan, Xiaohan Chen, Zhibo Unviersity of Science and Technology of China Hefei China

ISBN: (纸本)9798350359855

Remote medical diagnosis has emerged as a critical and indispensable technique in practical medical systems, where medical data are required to be efficiently compressed and transmitted for diagnosis by either professional doctors or intelligent diagnosis devices. In this process, a large amount of redundant content irrelevant to the diagnosis is subjected to high-fidelity coding, leading to unnecessary transmission costs. To mitigate this, we propose diagnosis-oriented medical image compression, a special semantic compression task designed for medical scenarios, targeting to reduce the compression cost without compromising the diagnosis accuracy. However, collecting sufficient medical data to optimize such a compression system is significantly expensive and challenging due to privacy issues and the lack of professional annotation. In this study, we propose DMIC, the first efficient transfer learning-based codec, for diagnosis-oriented medical image compression, which can be effectively optimized with only few-shot annotated medical examples, by reusing the knowledge in the existing reinforcement learning-based task-driven semantic coding framework, i.e., HRLVSC [1]. Concretely, we focus on tuning only the partial parameters of the policy network for bit allocation within HRLVSC, which enables it to adapt to the medical images. In this work, we validate our DMIC with the typical medical task, Coronary Artery Segmentation. Extensive experiments have demonstrated that our DMIC can achieve 47.594%BD-Rate savings compared to the HEVC anchor, by tuning only the A2C module (2.7% parameters) of the policy network with only 1 medical sample. © 2023 ieee.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

image Forensics Strikes Back: Defense Against Adversarial Patch

Image Forensics Strikes Back: Defense Against Adversarial Pa...

引用

2024 conference on visual communications and image processing

作者： Kao, Ching-Chia Lu, Chun-Shien Yu, Chia-Mu Acad Sinica Inst Informat Sci IIS Taipei Taiwan Natl Taiwan Univ Taipei Taiwan Natl Yang Ming Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9798331529543;9798331529550

Traffic sign recognition plays a crucial role in self-driving cars, but unfortunately, it is vulnerable to adversarial patches (AP). Although AP can efficiently fool DNN-based models in previous studies, the connection between image forensics and AP detection still needs to be explored. From a high-level point of view, their goals are the same. That is to find tampered regions and prevent false positives in the meantime. A natural question arises: "Is achieving application-agnostic anomaly detection possible?" In this paper, we propose image Forensics Defense Against Adversarial Patch (IDAP), a framework to defend against adversarial patches via generalizable features learned from tampered images. In addition, we incorporate the Hausdorff erosion loss into our network model for joint training to complete the shape of a predicted mask. Extensive experimental comparisons on three datasets, including COCO, DFG, and APRICOT demonstrate that IDAP outperforms state-of-the-art AP detection methods.

关键词： Adversarial Patch AI Security image Forensics

来源：评论

学校读者我要写书评

暂无评论

COLOR image GUIDED LOCALITY REGULARIZED REPRESENTATION FOR KINECT DEPTH HOLES FILLING

COLOR IMAGE GUIDED LOCALITY REGULARIZED REPRESENTATION FOR K...

引用

ieee international conference on visual communications and image processing (vcip)

作者： Hu, Jinhui Hu, Ruimin Wang, Zhongyuan Gong, Yan Duan, Mang Wuhan Univ Comp Sch NERCMS Wuhan 430072 Peoples R China

ISBN: (纸本)9781479902880

The emergence of Microsoft Kinect has attracted the attention not only from consumers but also from researchers in the field of computer vision. It facilitates the possibility to capture the depth map of the scene in real time and with low cost. Nonetheless, due to the limitations of structured light measurements used by Kinect, the captured depth map suffers random depth missing in the occlusion or smooth regions, which affects the accuracy of many Kinect based applications. In order to fill in the holes existing in Kinect depth map, some approaches that adopted color image guided in-painting or joint bilateral filter have been proposed to represent the missing depth pixel by available depth pixels. However, they are not able to obtain the optimal weights, thus the obtained missing depth values are not best. In this paper, we propose a color image guided locality regularized representation (CGLRR) to reconstruct the missing depth pixels by comprehensively determining the optimal weights of the available depth pixels from collocated patches in color image. Experimental results demonstrate that the proposed algorithm can better fill in the holes of depth map both in smooth and edge region than previous works.

关键词： Kinect Depth map Holes filling CGLRR

来源：评论

学校读者我要写书评

暂无评论

Coarse-to-fine Transformer For Lossless 3D Medical image Compression

Coarse-to-fine Transformer For Lossless 3D Medical Image Com...

引用

2024 conference on visual communications and image processing

作者： Yang, Xiaoxuan Lui, Guo Feng, Donghui Cheng, Zhengxue Yu, Guosheng Song, Li Shanghai Jiao Tong Univ Shanghai Peoples R China Alibaba Grp T Head Semicond Co Ltd Hangzhou Peoples R China

ISBN: (纸本)9798331529543;9798331529550

The rapid advancements in medical imaging have led to a growing demand for high-performance lossless compression of large 3D medical image datasets. Unlike natural images, medical images typically feature three-dimensional structures, and high bit-depth, necessitating specialized compression techniques. Based on a decoder-only transformer, we propose a learnable dual-decoder model for lossless compression of 3D medical images. Our approach packs voxels into patches, which are processed by a patch-level decoder to extract the patch feature. The voxels, along with the patch feature, are subsequently fed into a voxel-level decoder to model each voxel. This coarse-to-fine modeling strategy reduces the computational time for each voxel and enables long-range modeling dependencies. Experimental results demonstrate that our proposed model achieves state-of-the-art compression performance, with an approximately 15% improvement in compression performance over the traditional JP3D benchmark on various datasets.

关键词： Lossless image Compression Medical image Transformer

来源：评论

学校读者我要写书评

暂无评论

Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural image Compression

Semantic Ensemble Loss and Latent Refinement for High-Fideli...

引用

2024 conference on visual communications and image processing

作者： Li, Daxin Bai, Yuanchao Wang, Kai Jiang, Junjun Liu, Xianming Harbin Inst Technol Fac Comp Harbin Peoples R China

ISBN: (纸本)9798331529543;9798331529550

Recent advancements in neural compression have surpassed traditional codecs in PSNR and MS-SSIM measurements. However, at low bit-rates, these methods can introduce visually displeasing artifacts, such as blurring, color shifting, and texture loss, thereby compromising perceptual quality of images. To address these issues, this study presents an enhanced neural compression method designed for optimal visual fidelity. We have trained our model with a sophisticated semantic ensemble loss, integrating Charbonnier loss, perceptual loss, style loss, and a non-binary adversarial loss, to enhance the perceptual quality of image reconstructions. Additionally, we have implemented a latent refinement process to generate content-aware latent codes. These codes adhere to bit-rate constraints, and prioritize bit allocation to regions of greater importance. Our empirical findings demonstrate that this approach significantly improves the statistical fidelity of neural image compression.

关键词： Generative image Compression Learned image Compression

来源：评论

学校读者我要写书评

暂无评论

Development of GPU-based High-speed Frame Rate Convertor Software for international TV Program Material Exchange

Development of GPU-based High-speed Frame Rate Convertor Sof...

引用

2024 conference on visual communications and image processing

作者： Kawada, Ryoichi Iguchi, Manabu KDDI Res Inc Saitama Japan KDDI Corp Tokyo Japan

ISBN: (纸本)9798331529543;9798331529550

Traditionally, when exchanging TV program materials between countries with different standard frame rates, frame rate conversion (FRC) is performed through a real-time TV standards convertor equipment. Recent years have seen an increasing need to perform FRC by software as handling materials as electronic files, rather than VTR tapes, has become more popular. Then it will be more convenient, especially when handling many materials, if the conversion can be performed in a shorter time than the actual length of the material. To meet this requirement while maintaining picture quality, the authors have developed a prototype GPU software of motion-compensated FRC, the algorithm of which is the one used in the current TV standards convertor equipment, without any simplification. It can convert HDTV material files at 6.8 times faster than real time on AWS g4dn.12xlarge, while maintaining the required picture quality. It is expected to make a significant contribution to improving the work efficiency of broadcasters and other operators.

关键词： international TV transmission Standards convertor Motion-compensated frame rate conversion GPU Software

来源：评论

学校读者我要写书评

暂无评论

Towards Audio-visual Saliency Prediction for Omnidirectional Video with Spatial Audio

Towards Audio-Visual Saliency Prediction for Omnidirectional...

引用

ieee international conference on visual communications and image processing (vcip)

作者： Chao, Fang-Yi Ozcinar, Cagri Zhang, Lu Hamidouche, Wassim Deforges, Olivier Smolic, Aljosa Univ Rennes CNRS INSA Rennes IETR UMR 6164 F-35000 Rennes France Trinity Coll Dublin Sch Comp Sci & Stat V SENSE Dublin Ireland

ISBN: (纸本)9781728180687

Omnidirectional videos (ODVs) with spatial audio enable viewers to perceive 360 degrees directions of audio and visual signals during the consumption of ODVs with head-mounted displays (HMDs). By predicting salient audio-visual regions, ODV systems can be optimized to provide an immersive sensation of audio-visual stimuli with high-quality. Despite the intense recent effort for ODV saliency prediction, the current literature still does not consider the impact of auditory information in ODVs. In this work, we propose an audio-visual saliency (AVS360) model that incorporates 360 degrees spatial-temporal visual representation and spatial auditory information in ODVs. The proposed AVS360 model is composed of two 3D residual networks (ResNets) to encode visual and audio cues. The first one is embedded with a spherical representation technique to extract 360 degrees visual features, and the second one extracts the features of audio using the log mel-spectrogram. We emphasize sound source locations by integrating audio energy map (AEM) generated from spatial audio description (i.e., ambisonics) and equator viewing behavior with equator center bias (ECB). The audio and visual features are combined and fused with AEM and ECB via attention mechanism. Our experimental results show that the AVS360 model has significant superiority over five state-of-the-art saliency models. To the best of our knowledge, it is the first work that develops the audio-visual saliency model in ODVs. The code will be publicly available to foster future research on audio-visual saliency in ODVs.

关键词： Audio-visual saliency spatial sound ambisonics omnidirectional video (ODV) virtual reality (VR)

来源：评论

学校读者我要写书评

暂无评论

Orthogonal Coded Multi-view Structured Light for Inter-view Interference Elimination

Orthogonal Coded Multi-view Structured Light for Inter-view ...

引用

ieee international conference on visual communications and image processing (vcip)

作者： Sun, Zaichao Qian, Guochao Peng, Zhaoyu Dai, Weiju Sun, Dongjun Zhang, Gongyuan Zhang, Nongtao Xu, Jun Wang, Ren Li, Chunlin Yunnan Elect Power Grid Co Ltd Elect Power Res Inst Kunming Yunnan Peoples R China

ISBN: (纸本)9781728180687

Rapid 3D reconstruction of dynamic scenes is very useful in 3D object structure analysis, accident avoidance for UAV, and other visual applications. Against dynamic scenes, coded structured light methods have been proposed to obtain the depth information of an object in 3D world, and most of them are based on spatial codification. A brutal truth is that two or more cameras and projectors from different viewpoints are needed to measure the dynamic scene simultaneously for rapid 3D reconstruction. However, when two traditional patterns, especially the binaries, are mutually overlapped, interference between them arises to a new challenge to 3D reconstruction. Traditional patterns can hardly be separated from each other, which surely influence the quality of the 3D reconstruction. To eliminate the interference problem, we propose a scheme of orthogonal coded multi-view structured light systems, which can obtain accurate of depth maps for a scene. Besides, we also test the stability of the orthogonal patterns by establishing three different scenes and making a comparisons to traditional patterns. New state-of-the-art results can be obtained by our scheme in the experiments.

关键词： image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Efficient Lightweight Attention Based Learned image Compression

Efficient Lightweight Attention Based Learned Image Compress...

引用

2023 ieee international conference on visual communications and image processing, vcip 2023

作者： He, Ziyang Luo, Lei Zhang, Le Guo, Hongwei Zhu, Ce Chongqing University of Posts and Telecommunications School of Communications and Information Engineering Chongqing400065 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Honghe University School of Engineering Yunnan661199 China

ISBN: (纸本)9798350359855

The CNN-based end-To-end learned image compression methods have already achieved a significant improvement in terms of coding efficiency. Moreover, with the capability of modeling long-range global correlation, the transformer-based image compression has further elevated the coding efficiency to outperform the latest Versatile Video Coding (VVC) standard. Nonetheless, the high computational burden of the self-Attention mechanism in the transformer design present a significant obstacle for practical applications. To address this concern, we propose a relatively low-complexity end-To-end learned image compression approach by integrating an efficient lightweight attention module, which effectively mitigates the computational overhead associated with self-Attention in the transformer design. The experimental results demonstrate that the proposed method achieves better RD performance than VVC. Furthermore, as compared to the prevailing state-of-The-Art transformer-based approach, our method accelerates the coding speed by over 6 times while maintaining comparable coding efficiency. © 2023 ieee.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共230页 << < 22 23 24 25 26 27 28 29 30 31 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：