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

10 篇 会议
5 篇 期刊文献

馆藏范围

15 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7 篇 工学
- 6 篇 计算机科学与技术...
- 5 篇 软件工程
- 2 篇 电子科学与技术（可...
- 2 篇 控制科学与工程
- 1 篇 力学（可授工学、理...
- 1 篇 光学工程
- 1 篇 电气工程
- 1 篇 信息与通信工程
- 1 篇 核科学与技术
- 1 篇 生物医学工程（可授...
5 篇 理学
- 4 篇 物理学
- 3 篇 数学
- 1 篇 统计学（可授理学、...
3 篇 医学
- 2 篇 临床医学
- 1 篇 基础医学(可授医学...
- 1 篇 公共卫生与预防医...
- 1 篇 药学(可授医学、理...
- 1 篇 特种医学
3 篇 管理学
- 2 篇 管理科学与工程(可...
- 1 篇 工商管理
- 1 篇 图书情报与档案管...
1 篇 教育学
- 1 篇 教育学

主题

3 篇 character recogn...
2 篇 videos
2 篇 face recognition
2 篇 handwriting reco...
2 篇 video recording
2 篇 accuracy
2 篇 synchronization
1 篇 image enhancemen...
1 篇 mammography
1 篇 telemedicine
1 篇 face detection
1 篇 hidden markov mo...
1 篇 electronic mail
1 篇 speech
1 篇 image edge detec...
1 篇 breast cancer
1 篇 laboratories
1 篇 image databases
1 篇 statistical anal...
1 篇 speech recogniti...

机构

2 篇 advanced imaging...
1 篇 department of co...
1 篇 department of ne...
1 篇 multimedia signa...
1 篇 japan assoc. for...
1 篇 dept. of elec. a...
1 篇 state key lab of...
1 篇 department of bi...
1 篇 college of infor...
1 篇 courant institut...
1 篇 vis. technol. gr...
1 篇 computer science...
1 篇 faculty of engin...
1 篇 multimedia commu...
1 篇 united kingdom
1 篇 network center o...
1 篇 faculty of engin...
1 篇 tsinghua univers...
1 篇 dept. of elec. a...
1 篇 integrative brai...

作者

2 篇 smita vemulapall...
2 篇 monson hayes
1 篇 kim tai-hoon
1 篇 gravvanis george...
1 篇 solo ashu m.g.
1 篇 besar rosli
1 篇 cannavò alberto
1 篇 bhattacharya mah...
1 篇 seinfeld sofia
1 篇 xun xu
1 篇 r. besar
1 篇 thomas jaya
1 篇 swee sim kok
1 篇 dazhen sun
1 篇 jianfeng zhu
1 篇 daimi kevin
1 篇 kapralos bill
1 篇 bin mansor muham...
1 篇 al-holou nizar
1 篇 soumeya ourabia

语言

15 篇 英文

检索条件"机构=Image Processing and Multimedia Technology Center"

共 15 条记录，以下是1-10 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：

Methods for clustered microcalcifications detection in digital mammograms

Methods for clustered microcalcifications detection in digit...

引用

Fourth IEEE International Symposium on Signal processing and Information technology, ISSPIT 2004

作者： Diyana, Wan Mimi Besar, Rosli Faculty of Engineering Multimedia University Persiaran Multimedia Cyberjaya 63100 Selangor Malaysia Center for Image Processing and Telemedicine Faculty of Engineering and Technology Multimedia University Jalan Ayer Keroh Lama Bukit Beruang 75450 Melaka Malaysia

ISBN: (纸本)0780386892

This paper presents the comparison of three methods for clustered microcalcifications (MCCs) detection, which are associated with a high probability of malignancy. The proposed methods are morphological approach, fractal analysis and high-order statistics (HOS) test. We apply these methods on two sets of digital mammograms (MIAS database and McGill University database) to test their efficiency, accuracy and reliability in MCCs detection. Statistical analysis using Receiver Operating Characteristics (ROC) curves and mean areas under the ROC curves are used in evaluating the performance of detection methods. It shows that the HOS test proved to be the most efficient and accurate, and give reliable results for every mammogram tested. © 2004 IEEE.

关键词： Mammography

来源：评论

学校读者我要写书评

暂无评论

Synchronization and combination techniques for audio-video based handwritten mathematical content recognition in classroom videos

Synchronization and combination techniques for audio-video b...

引用

2011 11th International Conference on Intelligent Systems Design and Applications, ISDA'11

作者： Vemulapalli, Smita Hayes, Monson Center for Signal and Image Processing Georgia Institute of Technology Atlanta GA United States Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul Korea Republic of

ISBN: (纸本)9781457716751

Recognizing handwritten mathematical content is a challenging problem, and more so when such content appears in classroom videos. However, given the fact that in such videos the handwritten text and the accompanying audio refer to the same content, a combination of a video and an audio based recognizer has the potential to significantly improve the content recognition accuracy. In this paper, using a combination of video and audio based recognizers, we focus on improving the character recognition accuracy in such videos and propose: (1) synchronization techniques for establishing a correspondence between the handwritten and the spoken content, and (2) combination techniques for combining the outputs of the video and audio based recognizers. The current implementation of the system makes use of a modified open source text recognizer and a commercially available phonetic word-spotter. For evaluation purposes, we use videos recorded in a classroom-like environment and our experiments demonstrate the significant improvements (≈ 24% relative increase as compared to the baseline video based recognizer) in character recognition accuracy that can be achieved using our techniques. © 2011 IEEE.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

Methods for clustered microcalcifications detection in digital mammograms

Methods for clustered microcalcifications detection in digit...

引用

IEEE International Symposium on Signal processing and Information technology (ISSPIT)

作者： W.M. Diyana R. Besar Faculty of Engineering Multimedia University Selangor Malaysia Center for Image Processing and Telemedicine Faculty of Engineering and Technology Multimedia University Malacca Malaysia

This paper presents the comparison of three methods for clustered microcalcifications (MCCs) detection, which are associated with a high probability of malignancy. The proposed methods are morphological approach, fractal analysis and high-order statistics (HOS) test. We apply these methods on two sets of digital mammograms (MIAS database and McGill University database) to test their efficiency, accuracy and reliability in MCCs detection. Statistical analysis using receiver operating characteristics (ROC) curves and mean areas under the ROC curves are used in evaluating the performance of detection methods. It shows that the HOS test proved to be the most efficient and accurate and give reliable results for every mammogram tested.

关键词： Fractals Testing Breast cancer Gray-scale Statistical analysis image databases Electronic mail Cancer detection image processing Telemedicine

来源：评论

学校读者我要写书评

暂无评论

Pansharpening Methods Based on a Redundant Contourlet Transform

Pansharpening Methods Based on a Redundant Contourlet Transf...

引用

2023 International Conference on Earth Observation and Geo-Spatial Information, ICEOGI 2023

作者： Ourabia, Soumeya Baaziz, Nadia Smara, Youcef University Center of Tipaza -Morsli Abdelah-Institut of Sciences Laboratory of Image Processing and Radiation -USTHB Departement of Electronics Tipaza Algeria University of Quebec in Outaouais - Uqo Research Laboratory in Multimedia Information Department of Computer Science and Engineering GatineauQC Canada University of Sciences and Technology Houari Boumediene -USTHB Laboratory of Image Processing and Radiation Faculty of Electrical Engineering Algiers Algeria

ISBN: (纸本)9798350396720

The pansharpening of high-resolution panchromatic (Pan) image and low-resolution multispectral (MS) images represents an important task in the remote sensing field. It allows the joint exploitation of the information derived from both types of images. However, this may cause a distortion of spectral information or a lack in details and structures. The multiresolution analysis using wavelet transforms has proved its efficiency in the pansharpening domain, due to the representation of the image content over different resolution levels. In image fusion applications, we always need more detail information to be incorporated in the pansharpening procedure in order to produce enhanced results. However, the limitation of the wavelet transform to three types of oriented detail coefficients prevents this need from being met. To overcome this limitation, we propose to use the redundant contourlet transform (RCT) which extracts a richer multiscale directional information from the image. For this purpose, two RCT-based pansharpening methods are introduced and suitable data fusion procedures are described. We conducted several experiments on two different datasets acquired respectively by ALSAT-2A and IKONOS satellites. The visual results as well as quantitative results from evaluation metrics demonstrate the performance of the proposed methods. © 2023 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

Synchronization and combination techniques for audio-video based handwritten mathematical content recognition in classroom videos

Synchronization and combination techniques for audio-video b...

引用

International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Smita Vemulapalli Monson Hayes Center of Signal & Image Processing Georgia Institute of Technology Atlanta GA USA Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea

关键词： Videos Synchronization Character recognition Accuracy Video recording Handwriting recognition Speech recognition

来源：评论

学校读者我要写书评

暂无评论

Towards audio-video based handwritten mathematical content recognition in classroom videos

Towards audio-video based handwritten mathematical content r...

引用

IEEE Pacific Rim Conference on Communications, Computers and Signal processing

作者： Smita Vemulapalli Monson Hayes Center for Signal & Image Processing Georgia Institute of Technology Atlanta GA USA Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea

Recognizing handwritten mathematical content in classroom videos poses a range of interesting challenges. In this paper, we focus on improving the character recognition accuracy in such videos using a combination of video and audio based text recognizers. We propose a two step assembly consisting of a video text recognizer (VTR) as the primary character recognizer and an audio text recognizer (ATR) for disambiguating, if needed, the output of the VTR. We propose techniques for (1) detecting ambiguity in the output of the VTR so that a combination with the ATR may be triggered only for ambiguous characters, (2) synchronizing the output of the two recognizers for enabling combination, and (3) combining the options generated by the two recognizers using measurement and rank based methods. We have implemented the system using an open source implementation of a character recognizer and a commercially available phonetic word-spotter. Through experiments conducted using video recorded in a classroom-like environment, we demonstrate the improvement in the character recognition accuracy that can be achieved using our approach.

关键词： Videos Character recognition Accuracy Video recording Synchronization Text recognition Handwriting recognition

来源：评论

学校读者我要写书评

暂无评论

IEEE VR 2023 Workshops: Workshop: 3D Reconstruction, Digital Twinning, and Simulation for Virtual Experiences (ReDigiTS 2023)

IEEE VR 2023 Workshops: Workshop: 3D Reconstruction, Digital...

引用

2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023

作者： Cannavò, Alberto Kapralos, Bill Seinfeld, Sofia Pratticò, Filippo Gabriele Zhang, Congyi Politecnico di Torino Turin Italy Game Development and Interactive Media Program and MaxSIMhealth Lab Ontario Tech University Oshawa Canada Image Processing and Multimedia Technology Center Universitat Politècnica de Catalunya-Barcelona Tech Terrassa Spain Politecnico di Torino Turin Italy Department of Computer Science The University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9798350348392

Today, Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) technologies are becoming fundamental across a wide variety of application domains. All these technologies fall under the Extended Reality (XR) spectrum. Areas in which XR technologies and, in particular, immersive experiences have been successfully introduced are expanding daily, from traditional areas, such as entertainment and video game production, to novel scenarios, such as industry, healthcare, smart cities, and autonomous vehicles, to mention a few. The spread of XR and VR is also driven by technological advancements that are making new ways of operating within virtual experiences easier, and sometimes even possible. In particular, the availability of new hardware and software tools make the use of '3D reconstructions', 'digital twins' and 'simulations' commonplace in many XR and VR applications. For example, the possibility to leverage networks with higher bandwidth than never before and lower latency makes it possible to transmit the amount of data needed for massive, real-time digital twins, whereas high-performance hardware enables the reconstruction of high-fidelity digital objects and environments, while lowering the time needed for high-demanding simulations. The aim of the 3D Reconstruction, Digital Twinning, and Simulation for Virtual Experiences (ReDigiTS) workshop is to bring together researchers, practitioners, educators, and students to share ideas and promote further work in this growing area of 3D reconstruction, digital twinning, and simulation in VR and related technologies. © 2023 IEEE.

关键词： Augmented reality

来源：评论

学校读者我要写书评

暂无评论

Multi-Modal Human Verification Using Face and Speech

Multi-Modal Human Verification Using Face and Speech

引用

IEEE International Conference on Computer Vision Systems (ICVS)

作者： Changhan Park Joonki Paik Taewoong Choi Soonhyob Kim Youngouk Kim J. Namkung Image Processing and Intelligent Systems Laboratory Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University Seoul South Korea Multimedia Signal Processing Laboratory Kwangwoon University Seoul South Korea Precision Machinery Center Korea Electronics and Technology Institute Puchon Gyeonggi South Korea Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University Seoul South Korea

In this paper, we propose a personal verification method using both face and speech to improve the rate of single biometric verification. False acceptance rate (FAR) and false rejection rate (FRR) have been a fundamental bottleneck of real-time personal verification. The proposed multimodal biometric method is to improve both verification rate and reliability in real-time by overcoming technical limitations of single biometric verification methods. The proposed method uses principal component analysis (PCA) for face recognition and hidden markov model (HMM) for speech recognition. It also uses fuzzy logic for the final decision of personal verification. Based on experimental results, the proposed system can reduce FAR down to 0.0001%, which provides that the proposed method overcomes the limitation of single biometric system and provides stable personal verification in real-time.

关键词： Humans Speech Face detection Face recognition Biometrics Principal component analysis Feature extraction Hidden Markov models image edge detection Laboratories

来源：评论

学校读者我要写书评

暂无评论

Multi-modal human verification using face and speech

Multi-modal human verification using face and speech

引用

Fourth IEEE International Conference on Computer Vision Systems, ICVS'06

作者： Park, Changhan Choi, Taewoong Kim, Youngouk Kim, Soonhyob Namkung, Jaechan Paik, Joonki Department of Image Engineering Graduate School of Advanced Imaging Science Multimedia and Film Chung-Ang University 221 Huksuk-dong Tongjak-Ku Seoul 156-756 Korea Republic of Multimedia Signal Processing Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Intelligent Image Communication Laboratory Department of Computer Engineering Kwangwoon University 447-1 Wolge-dong Nowon-Gu Seoul 139-701 Korea Republic of Precision Machinery Center Korea Electronics Technology Institute 401-402 B/D 193 Yakdae-dong Wonmi-Gu Puchon Kyunggido 420-140 Korea Republic of

ISBN: (纸本)0769525067

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Pansharpening Methods Based on a Redundant Contourlet Transform

Pansharpening Methods Based on a Redundant Contourlet Transf...

引用

Earth Observation and Geo-Spatial Information (ICEOGI), International Conference on

作者： Soumeya Ourabia Nadia Baaziz Youcef Smara Departement of Electronics University Center of Tipaza -Morsli Abdelah-Institut of Sciences Laboratory of Image Processing and Radiation -USTHB Tipaza Algeria Department of Computer Science and Engineering Research Laboratory in Multimedia Information University of Quebec in Outaouais - UQO Gatineau Québec Canada Laboratory of Image Processing and Radiation Faculty of electrical engineering University of Sciences and Technology Houari Boumediene -USTHB Algiers Algeria

关键词：

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2页 << < 1 2 > >>

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：