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

1,414 篇 会议
56 册 图书
27 篇 期刊文献

馆藏范围

1,497 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,009 篇 工学
- 904 篇 计算机科学与技术...
- 399 篇 软件工程
- 390 篇 电气工程
- 125 篇 信息与通信工程
- 119 篇 光学工程
- 83 篇 生物工程
- 62 篇 生物医学工程（可授...
- 54 篇 电子科学与技术（可...
- 38 篇 控制科学与工程
- 33 篇 化学工程与技术
- 27 篇 机械工程
- 17 篇 安全科学与工程
- 16 篇 仪器科学与技术
- 8 篇 材料科学与工程（可...
- 8 篇 建筑学
- 8 篇 土木工程
363 篇 医学
- 360 篇 临床医学
- 26 篇 基础医学(可授医学...
- 25 篇 药学(可授医学、理...
344 篇 理学
- 174 篇 物理学
- 143 篇 数学
- 86 篇 生物学
- 44 篇 统计学（可授理学、...
- 31 篇 化学
- 15 篇 系统科学
87 篇 管理学
- 65 篇 图书情报与档案管...
- 21 篇 管理科学与工程(可...
- 12 篇 工商管理
11 篇 农学
- 11 篇 作物学
10 篇 法学
- 9 篇 社会学
5 篇 经济学
1 篇 教育学
1 篇 文学
1 篇 艺术学

主题

132 篇 computer vision
86 篇 image processing
79 篇 image segmentati...
53 篇 feature extracti...
52 篇 computer graphic...
46 篇 deep learning
45 篇 cameras
35 篇 face recognition
35 篇 artificial intel...
35 篇 shape
30 篇 image reconstruc...
29 篇 object detection
29 篇 robustness
28 篇 image color anal...
24 篇 image enhancemen...
23 篇 image edge detec...
23 篇 biometrics
23 篇 image processing...
22 篇 pattern recognit...
22 篇 layout

机构

20 篇 indian statistic...
19 篇 indian institute...
17 篇 department of co...
14 篇 computer vision ...
12 篇 indian institute...
11 篇 department of el...
10 篇 indian inst tech...
9 篇 indian stat inst...
9 篇 indian institute...
9 篇 indian inst tech...
9 篇 indian institute...
8 篇 indian institute...
8 篇 department of el...
8 篇 indian institute...
8 篇 indian inst sci ...
8 篇 indian inst tech...
7 篇 indian inst tech...
7 篇 indian institute...
7 篇 indian inst tech...
7 篇 indian inst tech...

作者

40 篇 chaudhury santan...
29 篇 chaudhuri subhas...
26 篇 mukherjee jayant...
20 篇 das sukhendu
19 篇 raman shanmugana...
18 篇 santanu chaudhur...
17 篇 balasubramanian ...
16 篇 harit gaurav
16 篇 lall brejesh
15 篇 babu r. venkates...
15 篇 chanda bhabatosh
14 篇 mukherjee dipti ...
13 篇 das partha prati...
12 篇 biswas prabir ku...
12 篇 mishra deepak
11 篇 raman balasubram...
11 篇 sukhendu das
10 篇 biswas soma
10 篇 bhowmick partha
10 篇 bhavsar arnav

语言

1,485 篇 英文
9 篇 中文
4 篇 其他

检索条件"任意字段=Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing"

共 1497 条记录，以下是511-520 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：

Flow-free video object segmentation 6th

Flow-free video object segmentation

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Vora, Aditya Raman, Shanmuganathan Electrical Engineering Indian Institute of Technology Gandhinagar GandhinagarGujarat382355 India

ISBN: (纸本)9789811300196

Segmenting foreground object from a video is a challenging task because of large deformations of objects, occlusions, and background clutter. In this paper, we propose a frame-by-frame but computationally efficient approach for video object segmentation by clustering visually similar generic object segments throughout the video. Our algorithm segments object instances appearing in the video and then performs clustering in order to group visually similar segments into one cluster. Since the object that needs to be segmented appears in most part of the video, we can retrieve the foreground segments from the cluster having maximum number of segments. We then apply a track and fill approach in order to localize the object in the frames where the object segmentation framework fails to segment any object. Our algorithm performs comparably to the recent automatic methods for video object segmentation when benchmarked on DAVIS dataset while being computationally much faster. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Motion compensation

来源：评论

学校读者我要写书评

暂无评论

A generative adversarial network for tone mapping HDR images 6th

A generative adversarial network for tone mapping HDR images

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Patel, Vaibhav Amit Shah, Purvik Raman, Shanmuganathan Dhirubhai Ambani Institute of Information and Communication Technology Gandhinagar GandhinagarGujarat382007 India Indian Institute of Technology Gandhinagar GandhinagarGujarat382007 India

ISBN: (纸本)9789811300196

A tone mapping operator converts High Dynamic Range (HDR) images to Low Dynamic Range (LDR) images, which can be seen on LDR displays. There has been a lot of research done in the direction of an optimal Tone Mapping Operator which maximizes Tone Mapping Quality Index (TMQI). However, since all the methods approximate Human vision System in one or different way, none of them works for every type of images. We are proposing a novel generative adversarial network to learn a combination of these tone mapping operators. In order to get pixel level accuracy, we are using residual connections between same sized network layers. We compare this method with some of the existing tone mapping operators and observe that our method generates images with comparably high TMQI and indeed works on many different types of images. Because of the residual connections, the network can be scaled to very high dimensional images. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Using Signal-To-Noise Ratio to Connect the Quality Assessment Of Natural and Medical images 10

Using Signal-To-Noise Ratio to Connect the Quality Assessmen...

引用

10th International conference on Digital image processing (ICDIP)

作者： Li, Ruoyu Dai, Guangzhe Wang, Zhaoyang Yu, Shaode Xie, Yaoqin Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Wuhan Res Inst Posts & Telecommun Wuhan Hubei Peoples R China Northeastern Univ Sinodutch Biomed & Informat Engn Sch Shenyang Liaoning Peoples R China Univ Chinese Acad Sci Shenzhen Coll Adv Technol Shenzhen Peoples R China

ISBN: (数字)9781510622005

ISBN: (纸本)9781510622005

Medical image quality assessment (MIQA) is highly related to content interpretation and disease diagnosis in medical community. However, a few metrics have been developed. On the contrary, massive models have been designed for natural image quality assessment (NIQA) in the field of computer vision. Connect both sides of MIQA and NIQA is useful and challenging. This study explores signal-to-noise ratio (SNR) as the intermediate metric to bridge the gap between MIQA and NIQA and consequently, models for NIQA can be employed or modified for MIQA applications. A number of 411 images from 4 magnetic resonance (MR) imaging sequences are collected. First, the consistency of SNR in MIQA is validated which involves inter-rater and intra-rater (inter-session) reliability analysis. Then, 4 NIQA models (BIQI, BLIINDS-II, BRISQUE and NIQE) are evaluated on these MR images. After that, the correlation between SNR values and NIQA results are analyzed. Statistical analysis indicates that SNR measurement shows reliability regard to different raters in each sequence. Moreover, BLIINDS-II and BRISQUE have the potential for automated MIQA tasks. This study attempts to use SNR bridging the gap between MIQA and NIQA, and a large-scale experiment should be further conducted to verify the conclusion.

关键词： Signal-to-noise ratio medical image quality assessment natural image quality assessment

来源：评论

学校读者我要写书评

暂无评论

Automated translation of human postures from kinect data to labanotation 6th

Automated translation of human postures from kinect data to ...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Sankhla, Anindhya Kalangutkar, Vinanti Bhuyan, Himadri B. G. S. Mallick, Tanwi Nautiyal, Vivek Das, Partha Pratim Majumdar, Arun Kumar Indian Institute of Technology Kharagpur Kharagpur721302 India

ISBN: (纸本)9789811300196

We present a non-intrusive automated system to translate human postures into Labanotation, a graphical notation for human postures and movements. The system uses Kinect to capture the human postures, identifies the positions and formations of the four major limbs: two hands and two legs, converts to the vocabulary of Labanotation and finally translates to a parseable LabanXML representation. We use the skeleton stream to classify the formations of the limbs using multi-class support vector machines. Encoding to XML is performed based on Labanotation specification. A data set of postures is created and annotated for training the classifier and to test its performance. We achieve 80% to 90% accuracy for the 4 limbs. The system can be used as an effective front-end for posture analysis applications in various areas like dance and sports where predefined postures form the basis for analysis and interpretation. The parseability of XML makes it easy for integration in a platform independent manner. © Springer Nature Singapore Pte Ltd. 2018.

关键词： XML

来源：评论

学校读者我要写书评

暂无评论

SSIM-based joint bit-allocation using frame model parameters for 3D video coding 6th

SSIM-based joint bit-allocation using frame model parameters...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Harshalatha, Y. Biswas, Prabir Kumar Indian Institute of Technology Kharagpur Kharagpur India

ISBN: (纸本)9789811300196

Optimum bit-allocation between texture video and depth map in 3D video results in better virtual view quality. To incorporate this, rate distortion optimization (RDO) property is used. The RDO in 3D video implies minimization of synthesis distortion at available rate. Several bit-allocation methods proposed in literature have not considered perceptual quality improvement. In this paper, we propose bit-allocation criteria that results in better visual quality of synthesized view. To achieve this, visual quality metrics are to be incorporated and structural similarity (SSIM) index is one of the metric that measures perceived quality. As SSIM gives similarity measure, we used dSSIM as distortion metric in mode decision and motion estimation instead of traditional metrics like mean square error (MSE) or sum of squared error (SSE). Synthesis distortion is modeled using dSSIM and joint bit-allocation is formulated as optimization problem that is solved using Lagrange multiplier method. Model parameters are determined at frame level for more accurate calculation of quantization parameters. BD-Rate evaluation shows a reduction in bit rate with improved SSIM. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Motion estimation

来源：评论

学校读者我要写书评

暂无评论

Detecting missed and anomalous action segments using approximate string matching algorithm 6th

Detecting missed and anomalous action segments using approxi...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Jain, Hiteshi Harit, Gaurav Indian Institute of Technology Jodhpur Jodhpur India

ISBN: (纸本)9789811300196

We forget action steps and perform some unwanted action movements as amateur performers during our daily exercise routine, dance performances, etc. To improve our proficiency, it is important that we get a feedback on our performances in terms of where we went wrong. In this paper, we propose a framework for analyzing and issuing reports of action segments that were missed or anomalously performed. This involves comparing the performed sequence with the standard action sequence and notifying when misalignments occur. We propose an exemplar based Approximate String Matching (ASM) technique for detecting such anomalous and missing segments in action sequences. We compare the results with those obtained from the conventional Dynamic Time Warping (DTW) algorithm for sequence alignment. It is seen that the alignment of the action sequences under conventional DTW fails in the presence of missed action segments and anomalous segments due to its boundary condition constraints. The performance of the two techniques has been tested on a complex aperiodic human action dataset with Warm up exercise sequences that we developed from correct and incorrect executions by multiple people. The proposed ASM technique shows promising alignment and missed/anomalous notification results over this dataset. © Springer Nature Singapore Pte Ltd. 2018.

关键词： String searching algorithms

来源：评论

学校读者我要写书评

暂无评论

Recognizing human activities in videos using improved dense trajectories over LSTM 6th

Recognizing human activities in videos using improved dense ...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Singh, Krit Karan Mukherjee, Snehasis Indian Institute of Information Technology SriCity Sri City India

ISBN: (纸本)9789811300196

We propose a deep learning based technique to classify actions based on Long Short Term Memory (LSTM) networks. The proposed scheme first learns spatial temporal features from the video, using an extension of the Convolutional Neural Networks (CNN) to 3D. A Recurrent Neural Network (RNN) is then trained to classify each sequence considering the temporal evolution of the learned features for each time step. Experimental results on the CMU MoCap, UCF 101, Hollywood 2 dataset show the efficacy of the proposed approach. We extend the proposed framework with an efficient motion feature, to enable handling significant camera motion. The proposed approach outperforms the existing deep models for each dataset. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

Transfer learning by finetuning pretrained CNNs entirely with synthetic images 6th

Transfer learning by finetuning pretrained CNNs entirely wit...

引用

6th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2017

作者： Rajpura, Param Aggarwal, Alakh Goyal, Manik Gupta, Sanchit Talukdar, Jonti Bojinov, Hristo Hegde, Ravi Indian Institute of Technology Gandhinagar Gandhinagar382355 India Varanasi Varanasi221005 India BITS Hyderabad Hyderabad500078 India Nirma Institute of Technology Ahmedabad382481 India Innit Inc. Redwood City94063 United States

ISBN: (纸本)9789811300196

We show that finetuning pretrained CNNs entirely on synthetic images is an effective strategy to achieve transfer learning. We apply this strategy for detecting packaged food products clustered in refrigerator scenes. A CNN pretrained on the COCO dataset and fine-tuned with our 4000 synthetic images achieves mean average precision (mAP @ 0.5-IOU) of 52.59 on a test set of real images (150 distinct products as objects of interest and 25 distractor objects) in comparison to a value of 24.15 achieved without such finetuning. The synthetic images were rendered with freely available 3D models with variations in parameters like color, texture and viewpoint without a high emphasis on photorealism. We analyze factors like training data set size, cue variances, 3D model dictionary size and network architecture for their influence on the transfer learning performance. Additionally, training strategies like fine-tuning with selected layers and early stopping which affect transfer learning from synthetic scenes to real scenes were explored. This approach is promising in scenarios where limited training data is available. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Network architecture

来源：评论

学校读者我要写书评

暂无评论

Preface

Communications in Computer and Information Science

引用

Communications in computer and Information Science 2019年 1019 CCIS卷 v页

作者： Arora, Chetan Mitra, Kaushik Department of Computer Science and Engineering Indian Institute of Technology Delhi New Delhi India Department of Electrical Engineering Indian Institute of Technology Madras Chennai India

来源：评论

学校读者我要写书评

暂无评论

Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles

Real Time Incremental Foveal Texture Mapping for Autonomous ...

引用

25th IEEE/RSJ International conference on Intelligent Robots and Systems (IROS)

作者： Kumar, Ashish McBride, James R. Pandey, Gaurav Indian Inst Technol Dept Elect Engn Kanpur Uttar Pradesh India Ford Motor Co Res & Innovat Ctr Dearborn MI 48121 USA

ISBN: (纸本)9781538680940

We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment. The generated detailed map finds its application in the precise localization and navigation of autonomous vehicles. It can also serve as a virtual test bed for various vision and planning algorithms as well as a background map in the computer games. In this paper, we focus on two important issues: (i) incrementally generating a map with coherent 3D surface, in real time and (ii) preserving the quality of color texture. To handle the above issues, firstly, we perform a pose-refinement procedure which leverages camera image information, Delaunay triangulation and existing scan matching techniques to produce high resolution 3D map from the sparse input LIDAR scan. This 3D map is then texturized and accumulated by using a novel technique of ray-filtering which handles occlusion and inconsistencies in pose-refinement. Further, inspired by human fovea, we introduce foveal-processing which significantly reduces the computation time and also assists ray-filtering to maintain consistency in color texture and coherency in 3D surface of the output map. Moreover, we also introduce texture error (TE) and mean texture mapping error (MTME), which provides quantitative measure of texturing and overall quality of the textured maps.

关键词： Three-dimensional displays Laser radar Cameras Real-time systems image color analysis Global Positioning System

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150页 << < 48 49 50 51 52 53 54 55 56 57 > >>

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：