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

4,504 篇 会议
48 篇 期刊文献
18 册 图书
1 篇 学位论文

馆藏范围

4,571 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,607 篇 工学
- 1,696 篇 计算机科学与技术...
- 1,111 篇 信息与通信工程
- 989 篇 软件工程
- 698 篇 电气工程
- 281 篇 光学工程
- 125 篇 电子科学与技术（可...
- 119 篇 生物工程
- 115 篇 控制科学与工程
- 103 篇 仪器科学与技术
- 97 篇 网络空间安全
- 95 篇 生物医学工程（可授...
- 72 篇 机械工程
- 44 篇 化学工程与技术
- 31 篇 安全科学与工程
- 30 篇 动力工程及工程热...
- 26 篇 轻工技术与工程
1,246 篇 医学
- 1,237 篇 临床医学
- 35 篇 基础医学(可授医学...
- 29 篇 药学(可授医学、理...
1,041 篇 理学
- 745 篇 物理学
- 338 篇 数学
- 128 篇 生物学
- 105 篇 统计学（可授理学、...
- 48 篇 系统科学
- 47 篇 化学
190 篇 管理学
- 103 篇 管理科学与工程(可...
- 98 篇 图书情报与档案管...
- 32 篇 工商管理
77 篇 军事学
- 74 篇 军队指挥学
38 篇 法学
- 30 篇 社会学
10 篇 文学
8 篇 经济学
7 篇 农学
6 篇 教育学

主题

552 篇 image coding
472 篇 image processing
354 篇 visual communica...
318 篇 visualization
276 篇 image segmentati...
260 篇 feature extracti...
181 篇 image compressio...
169 篇 video coding
165 篇 image reconstruc...
158 篇 cameras
153 篇 humans
138 篇 image quality
132 篇 image retrieval
126 篇 training
123 篇 image edge detec...
123 篇 image color anal...
115 篇 image enhancemen...
115 篇 image analysis
113 篇 signal processin...
110 篇 motion estimatio...

机构

36 篇 shanghai jiao to...
29 篇 institute of ima...
28 篇 school of electr...
24 篇 school of electr...
21 篇 university of sc...
18 篇 shanghai jiao to...
17 篇 shanghai jiao to...
16 篇 tianjin univ sch...
16 篇 beijing universi...
14 篇 institute for in...
11 篇 school of comput...
11 篇 university of el...
11 篇 cas key laborato...
11 篇 tsinghua univ de...
10 篇 univ sci & techn...
10 篇 zhejiang univers...
10 篇 peking univ inst...
10 篇 institute of ima...
9 篇 microsoft resear...
9 篇 tsinghua univ de...

作者

34 篇 zhai guangtao
26 篇 sumei li
25 篇 song li
22 篇 li sumei
21 篇 guangtao zhai
19 篇 li song
18 篇 li li
17 篇 min xiongkuo
16 篇 dong liu
16 篇 wen gao
16 篇 shan liu
15 篇 andré kaup
15 篇 yang xiaokang
14 篇 chen zhibo
13 篇 m. vetterli
13 篇 xie rong
13 篇 xiongkuo min
13 篇 gao wen
11 篇 heming sun
11 篇 zhibo chen

语言

4,386 篇 英文
128 篇 其他
49 篇 土耳其文
39 篇 中文

检索条件"任意字段=Conference on Visual Communications and Image Processing 2003"

共 4571 条记录，以下是1061-1070 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：

Rethinking Anchor-Object Matching and Encoding in Rotating Object Detection

Rethinking Anchor-Object Matching and Encoding in Rotating O...

引用

IEEE visual communications and image processing (VCIP)

作者： Zhiyuan Huang Zhaohui Hou Pingyu Wang Fei Su Zhicheng Zhao School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Network System and Network Culture Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728173221

Rotating object detection is more challenging than horizontal object detection because of the multi-orientation of the objects involved. In the recent anchor-based rotating object detector, the IoU-based matching mechanism has some mismatching and wrong-matching problems. Moreover, the encoding mechanism does not correctly reflect the location relationships between anchors and objects. In this paper, RBox-Diff-based matching (RDM) mechanism and angle-first encoding (AE) method are proposed to solve these problems. RDM optimizes the anchor-object matching by replacing IoU (Intersection-over-Union) with a new concept called RBox-Diff, while AE optimizes the encoding mechanism to make the encoding results consistent with the relative position between objects and anchors more. The proposed methods can be easily applied to most of the anchor-based rotating object detectors without introducing extra parameters. The extensive experiments on DOTA-v1.0 dataset show the effectiveness of the proposed methods over other advanced methods.

关键词： image coding visual communication Object detection Detectors

来源：评论

学校读者我要写书评

暂无评论

Real-time embedded hologram calculation for augmented reality glasses

Real-time embedded hologram calculation for augmented realit...

引用

IEEE visual communications and image processing (VCIP)

作者： Antonin Gilles Advanced Media Content Laboratory Research & Technology Institute b<>com Rennes France

ISBN: (纸本)9781728173221

Thanks to its ability to provide accurate focus cues, Holography is considered as a promising display technology for augmented reality glasses. However, since it contains a large amount of data, the calculation of a hologram is a time-consuming process which results in prohibiting head-motion-to-photon latency, especially when using embedded calculation hardware. In this paper, we present a real-time hologram calculation method implemented on a NVIDIA Jetson AGX Xavier embedded platform. Our method is based on two modules: an offline pre-computation module and an on-the-fly hologram synthesis module. In the offline calculation module, the omnidirectional light field scattered by each scene object is individually pre-computed and stored in a Look-Up Table (LUT). Then, in the hologram synthesis module, the light waves corresponding to the viewer's position and orientation are extracted from the LUT in real-time to compute the hologram. Experimental results show that the proposed method is able to compute 2K1K color holograms at more than 50 frames per second, enabling its use in augmented reality applications.

关键词： image color analysis visual communication Redundancy Glass Real-time systems Hardware Light fields

来源：评论

学校读者我要写书评

暂无评论

Gradient Compression with a Variational Coding Scheme for Federated Learning

Gradient Compression with a Variational Coding Scheme for Fe...

引用

IEEE visual communications and image processing (VCIP)

作者： Birendra Kathariya Zhu Li Jianle Chen Geert Van Der Auwera University of Missouri-Kansas City Kansas City USA Qualcomm San Diego USA

ISBN: (纸本)9781728173221

Federated Learning (FL), a distributed machine learning architecture, emerged to solve the intelligent data analysis on massive data generated at network edge-devices. With this paradigm, a model is jointly learned in parallel at edge-devices without needing to send voluminous data to a central FL server. This not only allows a model to learn in a feasible duration by reducing network latency but also preserves data privacy. Nonetheless, when thousands of edge-devices are attached to an FL framework, limited network resources inevitably impose intolerable training latency. In this work, we propose model-update compression to solve this issue in a very novel way. The proposed method learns multiple Gaussian distributions that best describe the high dimensional gradient parameters. In the FL server, high dimensional gradients are repopulated from Gaussian distributions utilizing likelihood function parameters which are communicated to the server. Since the distribution information parameters constitute a very small percentage of values compared to the high dimensional gradients themselves, our proposed method is able to save significant uplink band-width while preserving the model accuracy. Experimental results validated our claim.

关键词： Training image coding visual communication Distributed databases Machine learning Gaussian distribution Collaborative work

来源：评论

学校读者我要写书评

暂无评论

A Bottom-up Fast CU Partition Scoring Mechanism for AVS3

A Bottom-up Fast CU Partition Scoring Mechanism for AVS3

引用

IEEE visual communications and image processing (VCIP)

作者： Shiyi Liu Zhenyu Wang Ke Qiu Jiayu Yang Ronggang Wang School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781728173221

The third generation of Audio Video Coding Standard (AVS3) achieves 22% coding performance improvement compared with High Efficiency Video Coding (HEVC). However, the improvement of encoding efficiency comes from a more flexible block partition scheme is at the cost of much higher encoding complexity. This paper proposes a bottom-up fast algorithm to prune the time-consuming search process of the CU partition tree. To be specific, we design a scoring mechanism based on the splitting patterns traced back from the bottom to predict the possibility of a partition type to be selected as optimal. The score threshold to skip the exhaustive Rate-Distortion Optimization (RDO) procedure of the partition type is determined by statistical analysis. The experimental results show that the proposed methods can achieve 24.56% time-saving with 0.37% BDBR loss under Random Access configuration and 12.50% complexity reduction with 0.08% BDBR loss under All Intra configuration. The effectiveness leads to the adoption by the open-source platform of AVS3 after evaluated by the AVS working group.

关键词： image coding visual communication Statistical analysis Software algorithms Rate-distortion Encoding Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Deep Color Constancy Using Spatio-Temporal Correlation of High-Speed Video

Deep Color Constancy Using Spatio-Temporal Correlation of Hi...

引用

IEEE visual communications and image processing (VCIP)

作者： Dong-Jae Lee Kang-Kyu Lee Jong-Ok Kim Korea University Seoul Korea

ISBN: (纸本)9781728173221

After the invention of electric bulbs, most of lights surrounding our worlds are powered by alternative current (AC). This intensity variation can be captured with a high-speed camera, and we can utilize the intensity difference between consecutive video frames for various vision tasks. For color constancy, conventional methods usually focus on exploiting only the spatial feature. To overcome the limitations of conventional methods, a couple of methods to utilize AC flickering have been proposed. The previous work employed temporal correlation between high-speed video frames. To further enhance the previous work, we propose a deep spatio-temporal color constancy method using spatial and temporal correlations. To extract temporal features for illuminant estimation, we calculate the temporal correlation between feature maps where global features as well as local are learned. By learning global features through spatio-temporal correlation, the proposed method can estimate illumination more accurately, and is particularly robust to noisy practical environments. The experimental results demonstrate that the performance of the proposed method is superior to that of existing methods.

关键词： Technological innovation Correlation image color analysis visual communication Lighting Estimation Feature extraction

来源：评论

学校读者我要写书评

暂无评论

An Intra String Copy Approach for SCC in AVS3

An Intra String Copy Approach for SCC in AVS3

引用

IEEE visual communications and image processing (VCIP)

作者： Liping Zhao Kailun Zhou Qingyang Zhou Huihui Wang Tao Lin Shaoxing University Shaoxing China Information Technology R&D Innovation Center of Peking University Shaoxing China VLSI Lab College of Electronics and Information Engineering Tongji University Shanghai China

ISBN: (纸本)9781728173221

An efficient SCC tool named Intra String Copy (ISC) has been proposed and adopted in AVS3 recently. ISC has two CU-level sub-modes: FPSP (fully-matching-string and partially-matching-string based string prediction) sub-mode and EUSP (equal-value-string, unit-basis-vector-string and unmatched-pixel-string based string prediction) sub-mode. Compared with the latest AVS3 reference software HPM with SCC tools disabled, using AVS3 SCC Common Test Condition and YUV test sequences in text and graphics with motion (TGM) and mixed content (MC) categories, the proposed tool achieves an average Y BD-rate reduction of 57.7%/39.5% and 77.2%/57.9% for TGM and MC in All Intra (AI)/Low Delay B(LDB) configurations, respectively, with low additional encoding complexity and almost the same decoding complexity.

关键词： Graphics image coding visual communication Software Complexity theory Delays Decoding

来源：评论

学校读者我要写书评

暂无评论

Deep Inter Prediction via Reference Frame Interpolation for Blurry Video Coding

Deep Inter Prediction via Reference Frame Interpolation for ...

引用

IEEE visual communications and image processing (VCIP)

作者： Zezhi Zhu Lili Zhao Xuhu Lin Xuezhou Guo Jianwen Chen School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781728173221

In High Efficiency Video Coding (HEVC), inter prediction is an important module for removing temporal redundancy. The accuracy of inter prediction is much affected by the similarity between the current and reference frames. However, for blurry videos, the performance of inter coding will be degraded by varying motion blur, which is derived from camera shake or the acceleration of objects in the scene. To address this problem, we propose to synthesize additional reference frame via the frame interpolation network. The synthesized reference frame is added into reference picture lists to supply more credible reference candidate, and the searching mechanism for motion candidates is changed accordingly. In addition, to make our interpolation network more robust to various inputs with different compression artifacts, we establish a new blurry video database to train our network. With the well-trained frame interpolation network, compared with the reference software HM-16.9, the proposed method achieves on average 1.55% BD-rate reduction under random access (RA) configuration for blurry videos, and also obtains on average 0.75% BD-rate reduction for common test sequences.

关键词： Interpolation image coding visual communication Databases Redundancy Cameras Software

来源：评论

学校读者我要写书评

暂无评论

Alignment-Free Video Compression Artifact Reduction

Alignment-Free Video Compression Artifact Reduction

引用

IEEE visual communications and image processing (VCIP)

作者： Dengyan Luo Mao Ye Shengjie Chen Xue Li University of Electronic Science and Technology of China The University of Queensland

ISBN: (纸本)9781728173221

The past few years have witnessed the great success of using multi-frame information to enhance the quality of compressed video. Most existing methods do frame or feature alignments to bring similar information from neighborhood frames much closer to enhance frame quality. However, inaccurate motion estimation will bring new artifacts. In this paper, we propose a new approach without alignment, which takes each non-Peak Quality Frame (non-PQF) and its two adjacent Peak Quality Frames (PQFs) as input. A Pre-processing module based on multi-scale feature extraction strategy is used to broaden receptive field of the network. Then, an enhancement module uses a two-stream feature extraction architecture to combine deep architecture and attention mechanism to further gather similar information. In this module, the lost high-frequency and similar information can be further retrieved from the adjacent PQFs. The proposed network is trained in an end-to-end manner. Compared with the alignment based methods, the competitive results can be obtained. A large number of qualitative and quantitative experimental results demonstrate the robustness and effectiveness of the proposed method.

关键词： image coding visual communication Motion estimation Deep architecture Video compression Feature extraction Robustness

来源：评论

学校读者我要写书评

暂无评论

Seq-Masks: Bridging the gap between appearance and gait modeling for video-based person re-identification

Seq-Masks: Bridging the gap between appearance and gait mode...

引用

IEEE visual communications and image processing (VCIP)

作者： Zhigang Chang Zhao Yang Yongbiao Chen Qin Zhou Shibao Zheng Institute of Image Processing and Network Engineering Shanghai Jiao Tong University Shanghai China School of Biomedical Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781728173221

Video-based person re-identification (Re-ID) aims to match person images in video sequences captured by disjoint surveillance cameras. Traditional video-based person Re-ID methods focus on exploring appearance information, thus, vulnerable against illumination changes, scene noises, camera parameters, and especially clothes/carrying variations. Gait recognition provides an implicit biometric solution to alleviate the above headache. Nonetheless, it experiences severe performance degeneration as camera view varies. In an attempt to address these problems, in this paper, we propose a framework that utilizes the sequence masks (SeqMasks) in the video to integrate appearance information and gait modeling in a close fashion. Specifically, to sufficiently validate the effectiveness of our method, we build a novel dataset named MaskMARS based on MARS. Comprehensive experiments on our proposed large wild video Re-ID dataset MaskMARS evidenced our extraordinary performance and generalization capability. Validations on the gait recognition metric CASIA-B dataset further demonstrated the capability of our hybrid model. Our codes and dataset MaskMARS will be open-sourced as a strong baseline.

关键词： Measurement Mars image recognition Codes visual communication Surveillance Video sequences

来源：评论

学校读者我要写书评

暂无评论

Learn to overfit better: finding the important parameters for learned image compression

Learn to overfit better: finding the important parameters fo...

引用

IEEE visual communications and image processing (VCIP)

作者： Honglei Zhang Francesco Cricri Hamed Rezazadegan Tavakoli Maria Santamaria Yat-Hong Lam Miska M. Hannuksela Nokia Technologies Finland

ISBN: (纸本)9781728173221

For most machine learning systems, overfitting is an undesired behavior. However, overfitting a model to a test image or a video at inference time is a favorable and effective technique to improve the coding efficiency of learning-based image and video codecs. At the encoding stage, one or more neural networks that are part of the codec are finetuned using the input image or video to achieve a better coding performance. The encoder en-codes the input content into a content bitstream. If the finetuned neural network is part (also) of the decoder, the encoder signals the weight update of the finetuned model to the decoder along with the content bitstream. At the decoding stage, the decoder first updates its neural network model according to the received weight update, and then proceeds with decoding the content bitstream. Since a neural network contains a large number of parameters, compressing the weight update is critical to reducing bitrate overhead. In this paper, we propose learning-based methods to find the important parameters to be overfitted, in terms of rate-distortion performance. Based on simple distribution models for variables in the weight update, we derive two objective functions. By optimizing the proposed objective functions, the importance scores of the parameters can be calculated and the important parameters can be determined. Our experiments on lossless image compression codec show that the proposed method significantly outperforms a prior-art method where overfitted parameters were selected based on heuristics. Furthermore, our technique improved the compression performance of the state-of-the-art lossless image compression codec by 0.1 bit per pixel.

关键词： Learning systems image coding visual communication Neural networks Bit rate Rate-distortion Machine learning

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458页 << < 103 104 105 106 107 108 109 110 111 112 > >>

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：