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

710 篇 会议
278 篇 期刊文献
14 册 图书

馆藏范围

1,002 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

594 篇 工学
- 383 篇 计算机科学与技术...
- 338 篇 软件工程
- 131 篇 信息与通信工程
- 99 篇 生物工程
- 96 篇 机械工程
- 96 篇 光学工程
- 76 篇 控制科学与工程
- 67 篇 生物医学工程（可授...
- 36 篇 仪器科学与技术
- 35 篇 化学工程与技术
- 33 篇 电气工程
- 25 篇 电子科学与技术（可...
- 18 篇 建筑学
- 17 篇 土木工程
- 12 篇 安全科学与工程
- 9 篇 力学（可授工学、理...
342 篇 理学
- 145 篇 数学
- 129 篇 物理学
- 106 篇 生物学
- 42 篇 统计学（可授理学、...
- 35 篇 化学
- 10 篇 系统科学
136 篇 管理学
- 93 篇 图书情报与档案管...
- 50 篇 管理科学与工程(可...
- 16 篇 工商管理
24 篇 医学
- 24 篇 临床医学
- 22 篇 基础医学(可授医学...
- 18 篇 药学(可授医学、理...
18 篇 艺术学
- 18 篇 设计学（可授艺术学...
16 篇 法学
- 16 篇 社会学
5 篇 经济学
3 篇 农学
2 篇 文学
1 篇 教育学

主题

125 篇 feature extracti...
113 篇 pattern recognit...
100 篇 computer vision
84 篇 image segmentati...
76 篇 training
71 篇 support vector m...
68 篇 handwriting reco...
68 篇 character recogn...
48 篇 shape
47 篇 optical characte...
41 篇 accuracy
37 篇 histograms
33 篇 databases
31 篇 testing
30 篇 cameras
30 篇 robustness
28 篇 image edge detec...
28 篇 writing
27 篇 hidden markov mo...
27 篇 kernel

机构

204 篇 computer vision ...
43 篇 computer vision ...
42 篇 university of ch...
40 篇 shenzhen key lab...
31 篇 national key lab...
30 篇 pattern analysis...
28 篇 faculty of compu...
27 篇 shenzhen key lab...
21 篇 siat branch shen...
19 篇 pattern analysis...
19 篇 shanghai ai labo...
18 篇 department of st...
17 篇 computer vision ...
16 篇 sensetime resear...
16 篇 computer vision ...
16 篇 shenzhen key lab...
14 篇 school of comput...
13 篇 pattern analysis...
13 篇 shanghai artific...
13 篇 xiamen key labor...

作者

113 篇 umapada pal
105 篇 pal umapada
60 篇 qiao yu
54 篇 vittorio murino
39 篇 b.b. chaudhuri
32 篇 michael blumenst...
32 篇 palaiahnakote sh...
30 篇 blumenstein mich...
30 篇 alessio del bue
28 篇 murino vittorio
28 篇 shivakumara pala...
27 篇 yu qiao
26 篇 dong chao
25 篇 chaudhuri b.b.
23 篇 u. pal
21 篇 liu xin
19 篇 wang yali
18 篇 lu tong
17 篇 tong lu
16 篇 chanda sukalpa

语言

971 篇 英文
27 篇 其他
4 篇 中文

检索条件"机构=Computer Vision and Pattern"

共 1002 条记录，以下是741-750 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：

Hidden Markov model-unscented Kalman filter contour tracking: A multi-cue and multi-resolution approach

Hidden Markov model-unscented Kalman filter contour tracking...

引用

Iranian Conference on Machine vision and Image Processing

作者： Moayedi, Fatemeh Kazemi, Alireza Azimifar, Zohreh Computer Vision and Pattern Recognition Group School of Electrical and Computer Engineering Shiraz University shiraz Iran

ISBN: (纸本)9781424497065

This paper present a novel attempt to introduce an HMM-based multi-resolution and multi-cue segmentation in combination with the unscented Kalman filter tracking method. It combines multiple features distribution and multiple resolutions to facilitate 2D video tracking. The advantages of this method lie in its speed and its robustness. Speed is dramatically improved by taking into account multiple resolutions which reduce number of measurement points (number of HMM states) while keeping its quality. Robustness is achieved by using multiple cues. We propose an algorithm to find an optimal operating point for a tracker in terms of the image scale. Furthermore, we propose a faster multi-scale (spatial) tracker based on a minimum acceptable performance limit. The proposed method is demonstrated on human head tracking with a non-stationary camera. Visual tests indicate that the optimized algorithms produce qualitatively better results. Results show that we are able to maintain real-time processing on quite generous video resolutions. Therefore it will be shown that our approach is faster and more efficient than conventional UKF and UKF with multi-cue. © 2010 IEEE.

关键词： Hidden Markov models

来源：评论

学校读者我要写书评

暂无评论

Touching text character localization in graphical documents using SIFT

Touching text character localization in graphical documents ...

引用

8th IAPR Workshop on Graphics Recognition, GREC 2009

作者： Roy, Partha Pratim Pal, Umapada Lladós, Josep 08193 Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata 108 India

ISBN: (纸本)364213727X

Interpretation of graphical document images is a challenging task as it requires proper understanding of text/graphics symbols present in such documents. Difficulties arise in graphical document recognition when text and symbol overlapped/touched. Intersection of text and symbols with graphical lines and curves occur frequently in graphical documents and hence separation of such symbols is very difficult. Several pattern recognition and classification techniques exist to recognize isolated text/symbol. But, the touching/overlapping text and symbol recognition has not yet been dealt successfully. An interesting technique, Scale Invariant Feature Transform (SIFT), originally devised for object recognition can take care of overlapping problems. Even if SIFT features have emerged as a very powerful object descriptors, their employment in graphical documents context has not been investigated much. In this paper we present the adaptation of the SIFT approach in the context of text character localization (spotting) in graphical documents. We evaluate the applicability of this technique in such documents and discuss the scope of improvement by combining some state-of-the-art approaches. © 2010 Springer-Verlag.

关键词： Character recognition

来源：评论

学校读者我要写书评

暂无评论

A new method for handwritten scene text detection in video

A new method for handwritten scene text detection in video

引用

International Conference on Frontiers in Handwriting Recognition

作者： Shivakumara, Palaiahnakote Dutta, Anjan Pal, Umapada Tan, Chew Lim School of Computing National University of Singapore Singapore Singapore Computer Vision Center Universitat Autònoma de Barcelona Barcelona Spain Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

ISBN: (纸本)9780769542218

There are many video images where hand written text may appear. Therefore handwritten scene text detection in video is essential and useful for many applications for efficient indexing, retrieval etc. Also there are many video frames where text line may be multi-oriented in nature. To the best of our knowledge there is no work on handwritten text detection in video, which is multi-oriented in nature. In this paper, we present a new method based on maximum color difference and boundary growing method for detection of multi-oriented handwritten scene text in video. The method computes maximum color difference for the average of R, G and B channels of the original frame to enhance the text information. The output of maximum color difference is fed to a K-means algorithm with K=2 to separate text and non-text clusters. Text candidates are obtained by intersecting the text cluster with the Sobel output of the original frame. To tackle the fundamental problem of different orientations and skews of handwritten text, boundary growing method based on a nearest neighbor concept is employed. We evaluate the proposed method by testing on our own handwritten text database and publicly available video data (Hua's data). Experimental results obtained from the proposed method are promising. © 2010 IEEE.

关键词： Color

来源：评论

学校读者我要写书评

暂无评论

A new wavelet-median-moment based method for multi-oriented video text detection 10

A new wavelet-median-moment based method for multi-oriented ...

引用

2010 IAPR Workshop on Document Analysis Systems, DAS 2010

作者： Shivakumara, Palaiahnakote Dutta, Anjan Tan, Chew Lim Pal, Umapada Department of Computer Science School of Computing National University of Singapore Singapore Singapore Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9781605587738

In this paper, we present a new method based on wavelet-median-moments and a novel idea of angle projection for detecting multi-oriented text in video. The proposed method uses wavelet decomposition first to obtain three high frequency sub-bands (LH, HL and HH) and then median moments are computed on the average sub-bands of the three high frequency sub-bands to brighten the text pixels. K-means clustering (K=2) is used for obtaining text pixels from the wavelet-median-moments features (WMMF). Text candidates are obtained by mapping the output of K-means on Sobel edge map of the original input frame. To deal with multi-oriented text, we introduce a new idea of Angle Projection (AP) based on boundary growing and nearest neighbor concepts from the text candidates instead of conventional projection profiles. The proposed method is experimented on horizontal text data, non-horizontal text data, temporal data, non-text data and camera based images (scene text data of ICDAR 2003 competition) to show that the proposed method is superior to existing methods. © Copyright 2010 ACM.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

A baseline dependent approach for Persian handwritten character segmentation

A baseline dependent approach for Persian handwritten charac...

引用

International Conference on pattern Recognition

作者： Alaei, Alireza Nagabhushan, P. Pal, Umapada Department of Studies in Computer Science University of Mysore Mysore 570006 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata-108 India

ISBN: (纸本)9780769541099

In this paper, an efficient approach to segment Persian off-line handwritten text-line into characters is presented. The proposed algorithm first traces the baseline of the input text-line image and straightens it. Subsequently, it over-segments each word/subwords using features extracted from histogram analysis and then removes extra segmentation points using some baseline dependent as well as language dependent rules. We tested the proposed character segmentation scheme with 2 different datasets. On a test set of 899 Persian words/subwords created by us, 90.26% of the characters were segmented correctly. From another dataset of 200 handwritten Arabic word images [11] we obtained 93.49% correct segmentation accuracy. © 2010 IEEE.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

A new two-stage scheme for the recognition of persian handwritten characters

A new two-stage scheme for the recognition of persian handwr...

引用

International Conference on Frontiers in Handwriting Recognition

ISBN: (纸本)9780769542218

In this paper, a two-stage scheme for the recognition of Persian handwritten isolated characters is proposed. In the first stage, similar shaped characters are categorized into groups and as a result, 8 groups are obtained from 32 Persian basic characters. In the second stage, the groups containing more than one similar shape characters are considered further for the final recognition. Feature extraction is based on undersampled bitmaps technique and modified chain-code direction frequencies. For the first stage features, we compute 49-dimension features based on undersampled bitmaps from 49 non-overlapping 7x7 window-maps. 196-dimension chain-code direction frequencies from 49 overlapping 9x9 window-maps are computed and used as features for the second stage of the proposed scheme. Classifiers are one-against-other support vector machines (SVM). We evaluated our scheme on a standard dataset of Persian handwritten characters. Using 36682 samples for training, we tested our scheme on other 15338 samples and obtained 98.10% and 96.68% correct recognition rates when considered 8-class and 32-class problems, respectively. © 2010 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Temporal conditional random fields: A conditional state space predictor for visual tracking

Temporal conditional random fields: A conditional state spac...

引用

Iranian Conference on Machine vision and Image Processing

作者： Shafiee, M.J. Azimifar, Z. Fieguth, P. Computer Vision and Pattern Recognition Laboratory School of Electrical and Computer Engineering Shiraz University Shiraz Iran Systems Design Engineering University of Waterloo Waterloo ON Canada

ISBN: (纸本)9781424497065

We present a modified Temporal Conditional Random Fields framework for modeling and predicting object motion. To facilitate such a powerful graphical model with prediction and come up with a CRF-based predictor, we propose a set of new temporal relations for object tracking, with feature functions such as optical flow (calculated among consequent frames). We evaluate our proposed Temporal Conditional Random Field method with real and synthetic data sequences and will show that the TCRF prediction is nearly equivalent with result of template matching. Experimental results show that our proposed method estimates future target state with zero error until target dynamic changes. Our proposed modified CRF method with simple and easy to implement feature functions, can learn any target dynamic, thus, it can predict next state of target with zero error. © 2010 IEEE.

关键词： Template matching

来源：评论

学校读者我要写书评

暂无评论

Document-zone classification in torn documents

Document-zone classification in torn documents

引用

International Conference on Frontiers in Handwriting Recognition

作者： Chanda, Sukalpa Franke, Katrin Pal, Umapada Dept. of Computer Science and Media Technology Gjøvik University College Norway Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

ISBN: (纸本)9780769542218

Arbitrary orientation and sparse data content are common characteristics of torn document. To ensure accuracy and reliability in computer-based analysis, content-zone segmentation is required. In our previous work, we studied segmentation of handwritten and printed text. A questioned document-piece in the form of an office note, however, might also contain non-text data like logos, graphics, and pictures. Hence a more precise content-zone classification is required. In this paper we propose a two-Tier approach for non-text, handwriting and printed text segmentation. The first Tier aims to discriminate text and non-text regions. The second Tier classifies handwritten and printed text within all text zones identified during the first Tier. Gabor features and chain-code features are used in Tier-1 and Tier-2, respectively. By using SVM classifier we successfully identified 97.65% of 31,227 text regions in our current test data. The proposed approach identified 98.69% of printed and 96.39% of handwritten text amongst all identified text regions. © 2010 IEEE.

关键词： Text processing

来源：评论

学校读者我要写书评

暂无评论

A bag-of-pages approach to unordered multi-page document classification

A bag-of-pages approach to unordered multi-page document cla...

引用

International Conference on pattern Recognition

作者： Gordo, Albert Perronnin, Florent Computer Vision Center Universitat Autònoma de Barcelona Spain Textual and Visual Pattern Analysis Xerox Research Centre Europe France

ISBN: (纸本)9780769541099

We consider the problem of classifying documents containing multiple unordered pages. For this purpose, we propose a novel bag-of-pages document representation. To represent a document, one assigns every page to a prototype in a codebook of pages. This leads to a histogram representation which can then be fed to any discriminative classifier. We also consider several refinements over this initial approach. We show on two challenging datasets that the proposed approach significantly outperforms a baseline system. © 2010 IEEE.

关键词： Information retrieval systems

来源：评论

学校读者我要写书评

暂无评论

Mash up of breaking news and contextual web information: A novel service for connected television

Mash up of breaking news and contextual web information: A n...

引用

2010 19th International Conference on computer Communications and Networks, ICCCN 2010

作者： Chattopadhyay, T. Pal, Arpan Garain, Utpal Innovation Lab. Kolkata Tata Consultancy Services Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9781424471164

The Connected TV can be described as an Internet enabled TV. In the current paper we have proposed a system for connected TV that mash up the information from internet and RSS feeds related to the breaking news aired over the TV. The proposed system initially localize the text regions from the streamed video in hybrid mode, then recognize them and spot the key words and finally fetch the related information from Internet. Our experimental results show that the localization of the text regions from the video can work with no misses but have some false positives which are taken care by data semantic analysis. The errors of the Optical Character recognition (OCR) module are taken care by using string comparing techniques like longest common subsequence matching and Leveinsthein distance while matching with the RSS feed or internet. © 2010 IEEE.

关键词： Optical character recognition

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101页 << < 71 72 73 74 75 76 77 78 79 80 > >>

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：