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
26 篇 期刊文献

馆藏范围

1,496 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,008 篇 工学
- 903 篇 计算机科学与技术...
- 398 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...
51 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

1,448 篇 英文
40 篇 其他
9 篇 中文

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

共 1496 条记录，以下是911-920 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：

Particle coding for meshfree cutting of deformable assets 14

Particle coding for meshfree cutting of deformable assets

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Shrivastava, Prateek Das, Sukhendu VPLab. CSE IIT Madras India

ISBN: (纸本)1595930361

In this paper we propose a novel algorithm for cutting deformable (soft) assets, modeled using the meshfree method of Smoothed Particle Hydrodynamics (SPH). The key idea of the algorithm is to label all particles during the virtual cut operation to obtain particle codes. Since the traditional SPH formulations ignore particle separation due to cuts, we had to account for the change in topology due to virtual cuts in the SPH formulation. Virtual cut causes disruption in internal forces between separated particles. To avoid separated particles (i.e., particles belonging to different regions) affecting each other's dynamics, the generated particle codes are used for filtering the neighbours before SPH dynamics are computed. Assignment of particle codes eliminates the need for an external grid like structure for detecting newly generated cut surfaces. We exploit the region information extracted from the particle codes to obtain a color field for surface generation. We show that our algorithm can easily be integrated with existing SPH techniques. Our proposed method generates minimum overhead in scenarios where multiple cutting operations are performed on a deformable asset. Particle coding is applied across all particles in parallel and is hence computationally efficient when implemented on a GPU. Copyright 2014 ACM.

关键词： graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Blind 3D video watermarking based on 3D-HEVC encoder using depth 14

Blind 3D video watermarking based on 3D-HEVC encoder using d...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Rana, Shuvendu Sur, Arijit Department of Computer Science and Engineering Indian Institute of Technology Guwahati Assam781039 India

ISBN: (纸本)1595930361

Due to enormous advancement of internet technology and display devices, 3D video becomes popular in recent times. To ensure secure media transmission, efficient authentication scheme for such 3D video sequence is a requirement. In recent past, watermarking is being regarded as a popular DRM tool for video authentication. It has been observed that video watermarking becomes a challenging task in the presence of advanced auto-stereoscopic display devices and MVD (Multi-view Video plus Depth) based encoding technique in case of 3D video. In this paper, depth image based rendering technique is proposed for blind 3D video watermarking. In this scheme, rendering technique is used to find the Z-axis of the stereo videos (left and right video). The connected regions of the Z-axis of a Group of Picture (GOP) have been filtered using the motion prediction of the video. Block DCT coefficients are used to embed the watermark signal with the selected Z-axis regions of the each video (left and right separately). A comprehensive set of experiments have been done to justify the robustness of the proposed scheme over existing schemes with respect to compression of the 3D-HEVC video codec. Copyright 2014 ACM.

关键词： Watermarking

来源：评论

学校读者我要写书评

暂无评论

Techniques for improving the performance of image retrieval using relevance feedback 14

Techniques for improving the performance of image retrieval ...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Nayak, Shrikant Sekhar, C. Chandra Department of Computer Science and Engineering Indian Institute of Technology Madras India

ISBN: (纸本)1595930361

Relevance feedback is important in bridging the semantic gap between the low-level visual features and the high-level semantic concepts during the image retrieval. In this work, the image retrieval using relevance feedback involves four phases. In the first phase, an initial retrieval is carried out for a given query image and each of the retrieved images is rated as relevant or irrelevant. In the second phase, the rated images are clustered. In the third phase, a score is computed for each image in the repository to measure the degree of its relevance to the query using the images in the clusters. We propose a method to compute the score using the local relevance feedback and the global relevance feedback. The local relevance feedback based component of the score is computed using the instance-based feedback approach. In this approach, the degree of relevance is measured using the feedback from the current iteration only. The global relevance feedback based component of the score is computed using the query-point movement approach. In this approach, the degree of relevance is measured using the feedback from different iterations. The scores for the images in the repository are used to retrieve the images. Each of the newly retrieved images is rated as relevant or irrelevant. In the fourth phase, each of the newly rated images is assigned to an existing cluster of rated images. We propose to represent an irregularly shaped cluster using multiple representatives. These representatives are used to assign each of the newly rated images to a cluster. The third and fourth phases are repeated until there is a convergence of the process of retrieval. The image retrieval performance for the proposed methods is compared with that of the existing methods on Wang and Corel image datasets. Results of these studies demonstrate the effectiveness of the proposed methods in improving the retrieval performance. Copyright 2014 ACM.

关键词： image retrieval

来源：评论

学校读者我要写书评

暂无评论

Table extraction from document images using fixed point model 14

Table extraction from document images using fixed point mode...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Bansal, Anukriti Harit, Gaurav Dutta Roy, Sumantra IIT Delhi India IIT Jodhpur India

ISBN: (纸本)1595930361

The paper presents a novel learning-based framework to identify tables from scanned document images. The approach is designed as a structured labeling problem, which learns the layout of the document and labels its various entities as table header, table trailer, table cell and non-table region. We develop features which encode the foreground block characteristics and the contextual information. These features are provided to a fixed point model which learns the inter-relationship between the blocks. The fixed point model attains a contraction mapping and provides a unique label to each block. We compare the results with Condition Random Fields(CRFs). Unlike CRFs, the fixed point model captures the context information in terms of the neighbourhood layout more efficiently. Experiments on the images picked from UW-III (University of Washington) dataset, UNLV dataset and our dataset consisting of document images with multi-column page layout, show the applicability of our algorithm in layout analysis and table detection. Copyright 2014 ACM.

关键词： image analysis

来源：评论

学校读者我要写书评

暂无评论

Face recognition using entropy based face segregation as a pre-processing technique and conservative BPSO based feature selection 14

Face recognition using entropy based face segregation as a p...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Babu, S. Hitesh Birajdhar, Sachin A. Tambad, Samarth Dept. of Electronics and Communication Engg. M.S. Ramaiah Inst. of Tech. Bangalore560054 India

ISBN: (纸本)1595930361

The statistical appearance of the face can vary due to various factors such as pose, occlusion, expression and back-ground which makes it a challenging task to have an efficient Face Recognition (FR) system. This paper proposes 4 novel techniques viz., Entropy based Face Segregation (EFS) as pre-processing technique, Double Wavelet Noise Removal (DWNR) as pre-processing technique, 1D Stationary Wavelet Transform (SWT) as Feature Extractor and Conservative Binary Particle Optimization (CBPSO) as Feature Selector to enhance the performance of the system. EFS is used to segregate the facial region, thus removing the cluttered background. DWNR has unique combination of 2D Discrete Wavelet Transform (DWT), Wiener Filter and 2D SWT for image denoising and contrast enhancement. The pre-processed image is then fed to unique combination of 1D DWT, 1D SWT and 1D Discrete Cosine Transform (DCT) to extract essential features. CBPSO is used to select very optimum feature subset and significantly reduce the computation time. The proposed algorithm is experimented on four benchmark databases viz., Color FERET, CMU PIE, Pointing Head Pose and Georgia Tech. Copyright 2014 ACM.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Knowledge sharing and cooperation based adaptive boosting for robust eye detection 14

Knowledge sharing and cooperation based adaptive boosting fo...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Lahiri, Avisek Biswas, Prabir Indian Institute of Technology Kharagpur West721302 India

ISBN: (纸本)1595930361

This paper proposes knowledge sharing and cooperation based Adaptive Boosting (KSC-AdaBoost) for supervised collaborative learning in presence of two different feature spaces (views) representing a training example. In such a binary learner space, two learner agents are trained on the two feature spaces. Difficulty of a training example is ascertained not only by classification performance of an individual learner but also by overall group performance on that training example. Group learning is enhanced by a novel algorithm for assigning weight to training set data. Three different models of KSC-AdaBoost are proposed for agglomerating decisions of the two learners. KSC-AdaBoost out-performs traditional AdaBoost and some recent variants of AdaBoost in terms of convergence rate of training set error and generalization accuracy. The paper then presents KSC-AdaBoost based hierarchical model for accurate eye region localization followed by fuzzy rule based system for robust eye center detection. Exhaustive experiments on five publicly available popular datasets reveal the viability of the learning models and superior eye detection accuracy over recent state-of-the-art algorithms. Copyright 2014 ACM.

关键词： Fuzzy rules

来源：评论

学校读者我要写书评

暂无评论

Domain adaptation on correlated subspace for unseen multiview headpose classification 14

Domain adaptation on correlated subspace for unseen multivie...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Rajagopal, Anoop K. Ramakrishnan, K.R. Dept. of Electrical Engineering Indian Institute of Science Bengaluru India

ISBN: (纸本)1595930361

Head pose classification from images acquired from far field cameras is a challenging problem because of the low resolution, blur and noise due to subject movements. Further there exists a domain shift in head pose classification between training (source) and testing (target) images. Also more often the head poses in the target set may not exist in the source set and acquiring sufficient samples for training is quite expensive. In this paper, we propose a novel framework to address multi-view unseen head pose classification where the target set belongs to a different domain and has more classes than in the source. A correlated subspace is first derived using Canonical Correlation Analysis (CCA) between corresponding head poses in the source (stationary subjects) and target set (moving subjects). A distance based Domain Adaptation technique is then used in the correlation subspace for classification of unseen head pose in the target set. Experimental results confirm the effectiveness of our approach in improving the classification performance over the state-of-art. Copyright is held by the authors.

关键词： CCA

来源：评论

学校读者我要写书评

暂无评论

Revealing what to extract from where, for object-centric content based image retrieval (CBIR) 14

Revealing what to extract from where, for object-centric con...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Gupta, Nitin Das, Sukhendu Chakraborti, Sutanu Dept. of CS and E IIT Madras India

ISBN: (纸本)1595930361

Content Based image Retrieval (CBIR) techniques retrieve similar digital images from a large database. As the user often does not provide any clue (indication) of the region of interest in a query image, most methods of CBIR rely on a representation of the global content of the image. The desired content in an image is often localized (e.g. car appearing salient in a street) instead of being holistic, demanding the need for an object-centric CBIR. We propose a biologically inspired framework WOW ("What"Object is "Where") for this purpose. Design of WOW framework is motivated by the cognitive model of human visual perception and feature integration theory (FIT). The key contributions in the proposed approach are: (i) Feedback mechanism between Recognition ("What") and Localization ("Where") modules (both supervised), for a cohesive decision based on mutual consensus;(ii) Hierarchy of visual features (based on FIT) for an efficient recognition task. Integration of information from the two channels ("What" and "Where") in an iterative feedback mechanism, helps to filter erroneous contents in the outputs of individual modules. Finally, using a similarity criteria based on HOG features (spatially localized by WOW) for matching, our system effectively retrieves a set of rank-ordered samples from the gallery. Experimentation done on various real-life datasets (including PASCAL) exhibits the superior performance of the proposed method. Copyright 2014 ACM.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Super pixel clustering via Kernel Density Estimation 14

Super pixel clustering via Kernel Density Estimation

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Sheth, Chintak Venkatesh Babu, R. BITS Pilani K. K. Birla Goa Campus Bypass Road National Highway 17B Zuarinagar Goa India Supercomputer Education and Research Centre Indian Institute of Science Bangalore560012 India

ISBN: (纸本)1595930361

Super pixels, which are a result of over-segmentation provide a reasonable compromise between working at pixel level versus with few optimally segmented regions. One fundamental challenge is that of defining the search space for merging. A naive approach of performing iterative clustering on the local neighborhood would be prone to under segmentation. In this paper, we develop a framework for generating non-compact super pixels by performing clustering on compact super pixels. We define the optimal search space by generating both over-segmented and under-segmented clustering of compact super pixels. Using this spatial information of the under-segmented scale, we look to improve the over-segmented scale. Our work is based on performing Kernel Density Estimation in 1D and further refining it using angular quantization. In all we propose three angular quantization formulations to generate the three scales of segmentation. Our results and comparison with the state-of-the-art super pixel algorithms show that merging a large number of super pixels with our algorithm is able to provide better results than using the underlying super pixel algorithm to obtain a smaller number of super pixels. Copyright 2014 ACM.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Parametric dictionaries and feature augmentation for continuous domain adaptation 14

Parametric dictionaries and feature augmentation for continu...

引用

9th indian conference on computer vision, graphics and image processing, ICVGIP 2014

作者： Shekhar, Sumit Shroff, Nitesh Chellappa, Rama Adobe Research Bangalore India Light Paolo Alto United States University of Maryland College Park United States

ISBN: (纸本)1595930361

In this paper, we study methods for learning classifiers for the case when there is a variation introduced by an underlying continuous parameter θ representing transformations like blur, pose, time, etc. First, we consider the task of learning dictionary-based representation for such cases. Sparse representations driven by data-derived dictionaries have produced state-of-the-art results in various image restoration and classification tasks. While significant advances have been made in this direction, most techniques have focused on learning a single dictionary to represent all variations in the data. In this paper, we show that dictionary learning can be significantly improved by explicitly parameterizing the dictionaries for θ. We develop an optimization framework to learn parametric dictionaries that vary smoothly with θ. We propose two optimization approaches, (a) least squares approach, and (b) the regularized K-SVD approach. Furthermore, we analyze the variations in data induced by θ from a different yet related perspective of feature augmentation. Specifically, we extend the feature augmentation technique proposed for adaptation of discretely separable domains to continuously varying domains, and propose a Mercer kernel to account for such changes. We present experimental validation of the proposed techniques using both synthetic and real datasets. Copyright 2014 ACM.

关键词： image reconstruction

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 << < 88 89 90 91 92 93 94 95 96 97 > >>

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：