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

30 篇 会议
20 篇 期刊文献

馆藏范围

50 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

26 篇 工学
- 17 篇 计算机科学与技术...
- 14 篇 软件工程
- 9 篇 光学工程
- 9 篇 生物医学工程（可授...
- 5 篇 生物工程
- 4 篇 信息与通信工程
- 3 篇 控制科学与工程
- 2 篇 电气工程
- 2 篇 电子科学与技术（可...
- 1 篇 力学（可授工学、理...
- 1 篇 机械工程
- 1 篇 仪器科学与技术
- 1 篇 航空宇航科学与技...
- 1 篇 环境科学与工程（可...
20 篇 理学
- 9 篇 数学
- 7 篇 物理学
- 5 篇 生物学
- 5 篇 统计学（可授理学、...
- 1 篇 地质学
- 1 篇 系统科学
6 篇 医学
- 6 篇 临床医学
- 5 篇 基础医学(可授医学...
- 5 篇 药学(可授医学、理...
- 1 篇 公共卫生与预防医...
5 篇 管理学
- 3 篇 管理科学与工程(可...
- 3 篇 图书情报与档案管...
- 1 篇 工商管理
1 篇 法学
- 1 篇 社会学
1 篇 教育学
- 1 篇 教育学

主题

15 篇 image coding
10 篇 systems engineer...
8 篇 image processing
7 篇 partitioning alg...
4 篇 streaming media
4 篇 hyperspectral im...
4 篇 wavelet transfor...
3 篇 asynchronous tra...
3 篇 error correction...
3 篇 pixel
3 篇 laboratories
3 篇 psnr
3 篇 channel coding
3 篇 forward error co...
3 篇 transform coding
2 篇 computer science
2 篇 scalability
2 篇 error correction
2 篇 power engineerin...
2 篇 discrete wavelet...

机构

5 篇 center for image...
4 篇 ihu strasbourg s...
4 篇 department of me...
4 篇 electrical compu...
4 篇 heidelberg
3 篇 university of pe...
3 篇 department of co...
3 篇 vector institute...
3 篇 erlangen-nürnber...
3 篇 radboud institut...
3 篇 department of bi...
3 篇 centre for medic...
3 篇 general robotics...
3 篇 department of di...
3 篇 university of po...
3 篇 department of ra...
3 篇 department of ra...
3 篇 heidelberg divis...
3 篇 universitat pomp...
3 篇 google health de...

作者

7 篇 j.w. modestino
5 篇 reyes mauricio
4 篇 bakas spyridon
4 篇 glocker ben
4 篇 kofler florian
4 篇 w.a. pearlman
4 篇 menze bjoern
4 篇 rieke nicola
4 篇 isensee fabian
3 篇 kreshuk anna
3 篇 rajpoot nasir
3 篇 kozubek michal
3 篇 haase robert
3 篇 karthikesalingam...
3 篇 galdran adrian
3 篇 reinke annika
3 篇 cimini beth a.
3 篇 mattson peter
3 篇 godau patrick
3 篇 acion laura

语言

46 篇 英文
2 篇 其他
2 篇 中文

检索条件"机构=Center for Image Processing ResearchElectrical Computer and Systems Engineering Department"

共 50 条记录，以下是31-40 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：

Multistage Lattice Vector Quantization for Hyperspectral image Compression

Multistage Lattice Vector Quantization for Hyperspectral Ima...

引用

Asilomar Conference on Signals, systems & computers

作者： Ying Liu William A. Pearlman Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

Lattice vector quantization (LVQ) offers substantial reduction in computational load and design complexity due to the lattice regular structure [1]. In this paper, we extended the SPIHT [2] coding algorithm with lattice vector quantization to code hyperspectral images. In the proposed algorithm, multistage lattice vector quantization (MLVQ) is used to exploit correlations between image slices, while offering successive refinement with low coding complexity and computation. Different four-dimensional lattices and significance metrics are considered. Their rate-distortion performance is compared with other 2D and 3D wavelet-based image compression algorithms.

关键词： Lattices Vector quantization Hyperspectral imaging image coding Partitioning algorithms Bit rate image processing Design engineering systems engineering and theory Rate-distortion

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

Scalable hyperspectral image coding

Scalable hyperspectral image coding

引用

2005 IEEE International Conference on Acoustics, Speech, and Signal processing, ICASSP '05

作者： Tang, Xiaoli Pearlman, William A. Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY 12180-3590

ISBN: (纸本)0780388747

Here we propose scalable Three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK)-an embedded, block-based, wavelet transform coding algorithm of low complexity for hyperspectral image compression. Scalable 3D-SPECK supports both SNR and resolution progressive coding. After wavelet transform, 3D-SPECK treats each subband as a coding block. To generate SNR scalable bitstream, the stream is organized so that the same indexed bit planes are put together across coding blocks and subbands, so that the higher bit planes precede the lower ones. To generate resolution scalable bitstreams, each subband is encoded separately to generate a sub-bitstream. Rate is allocated amongst the sub-bitstreams produced for each block. To decode the image sequence to a particular level at a given rate, we need to encode each subband at a higher rate so that the algorithm can truncate the sub-bitstream to the assigned rate. Resolution scalable 3D-SPECK is efficient for the application of an image server. Results show that scalable 3D-SPECK provides excellent performance on hyperspectral image compression. © 2005 IEEE.

关键词： image coding

来源：评论

学校读者我要写书评

暂无评论

Scalable hyperspectral image coding

Scalable hyperspectral image coding

引用

International Conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Xiaoli Tang W.A. Pearlman Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

Here we propose scalable three-dimensional set partitioned embedded block (3D-SPECK) - an embedded, block-based, wavelet transform coding algorithm of low complexity for hyperspectral image compression. Scalable 3D-SPECK supports both SNR and resolution progressive coding. After wavelet transform, 3D-SPECK treats each subband as a coding block. To generate SNR scalable bitstream, the stream is organized so that the same indexed bit planes are put together across coding blocks and subbands, so that the higher bit planes precede the lower ones. To generate resolution scalable bitstreams, each subband is encoded separately to generate a sub-bitstream. Rate is allocated amongst the sub-bitstreams produced for each block. To decode the image sequence to a particular level at a given rate, we need to encode each subband at a higher rate so that the algorithm can truncate the sub-bitstream to the assigned rate. Resolution scalable 3D-SPECK is efficient for the application of an image server. Results show that scalable 3D-SPECK provides excellent performance on hyperspectral image compression.

关键词： Hyperspectral imaging image coding Hyperspectral sensors Partitioning algorithms Scalability Streaming media image resolution Frequency Transform coding Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Lossy-to-lossless block-based compression of hyperspectral volumetric data

Lossy-to-lossless block-based compression of hyperspectral v...

引用

2004 International Conference on image processing, ICIP 2004

作者： Tang, Xiaoli Pearlman, William A. Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY 12180-3590

An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspectral volumetric image data by exploiting the dependencies in all dimensions. Integer wavelet transform is applied to enable lossy and lossless decompression from the same bit stream. We demonstrate that 3D-SPECK, a wavelet domain algorithm, like other time domain algorithms, can preserve spectral profiles well. Airborne Visible Infrared Imaging Spectrometer (AVIRIS) imagery is used to test the proposed algorithm. Results show that 3D-SPECK, in addition to being very flexible, retains all the desirable features of compared state-of-the-art algorithms and is highly competitive to 3D-SPIHT and better than JPEG2000 multi-component in compression efficiency. © 2004 IEEE.

关键词： image compression

来源：评论

学校读者我要写书评

暂无评论

Lossy-to-lossless block-based compression of hyperspectral volumetric data

Lossy-to-lossless block-based compression of hyperspectral v...

引用

IEEE International Conference on image processing

作者： Xiaoli Tang W.A. Pearlman Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-dimensional set partitioned embedded block (3D-SPECK) efficiently encodes, hyperspectral volumetric image data by exploiting the dependencies in all dimensions. Integer wavelet transform is applied to enable lossy and lossless decompression from the same bit stream. We demonstrate that 3D-SPECK, a wavelet domain algorithm, like other time domain algorithms, can preserve spectral profiles well. Airborne visible infrared imaging spectrometer (AVIRIS) imagery is used to test the proposed algorithm. Results show that 3D-SPECK, in addition to being very flexible, retains all the desirable features of compared state-of-the-art algorithms and is highly competitive to 3D-SPIHT and better than JPEG2000 multi-component in compression efficiency.

关键词： Hyperspectral imaging Partitioning algorithms image coding Transform coding Wavelet transforms Streaming media Wavelet domain Infrared imaging Infrared spectra Spectroscopy

来源：评论

学校读者我要写书评

暂无评论

Coding for fast access to image regions defined by pixel range

Coding for fast access to image regions defined by pixel ran...

引用

Data Compression Conference (DCC)

作者： A. Said S. Yea W.A. Pearlman Hewlett Packard Laboratories Palo Alto CA USA Center for Image Processing Research Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA

Many technical imaging applications, like coding "images" of digital elevation maps, require extracting regions of compressed images in which the pixel values are within a predefined range, and there is a need for coding methods that allow finding these regions efficiently, without having to decompress the whole image. A series of techniques to solve this problem is presented. First, it shows that many of the linear transforms commonly used for image compression can be used for that purpose by proving that the inclusion of nonlinear factors (like minimum or maximum pixel value in a block) does not render the transformation irreversible, and can be made to have very limited impact on the compression efficiency. For example, it shows how the "DC" coefficient of an 8/spl times/8 discrete cosine transform (DCT) can be replaced by the minimum or maximum in the 8/spl times/8 block. This result is valid for a large set of transforms, including the DCT, Walsh-Hadamard, and dyadic Haar transforms, and valid for any type of order-statistic filter output. Next, it shows the results also apply to the quantized transform coefficient cases as well as integer-to-integer transforms. The choices for coding the minimum and maximum values simultaneously, while providing quick access to pixel range and efficient compression were finally studied.

关键词： image coding Pixel Discrete transforms Discrete cosine transforms Magnetic resonance imaging Nonlinear filters Laboratories image processing systems engineering and theory Application software

来源：评论

学校读者我要写书评

暂无评论

3D set partitioning coding methods in hyperspectral image compression

3D set partitioning coding methods in hyperspectral image co...

引用

IEEE International Conference on image processing

作者： X. Tang S. Cho W.A. Pearlman Electrical Computer and Systems Engineering Department Center for Image Processing Research Troy NY USA

Hyperspectral images are generated by collecting hundreds of narrow and contiguously spaced spectral bands of data producing a highly correlated long sequence of images. Some application specific data compression techniques may be applied advantageously before we process, store or transmit hyperspectral images. This paper applies asymmetric tree 3DSPIHT (AT-3DSPIHT) for hyperspectral image compression; it also investigates and compares the performance of the AT-3DSPIHT, 3DSPIHT and 3DSPECK on hyperspectral image compression. Results show that the AT-3DSPIHT outperforms the other two by the approximate range of 0.2 to 0.9 dB PSNR. It guarantees over 4 dB PSNR improvement at all rates or rate savings at least a factor of 2.5 over 2D coding of separate spectral bands without axial transformation.

关键词： image coding Hyperspectral imaging Hyperspectral sensors Karhunen-Loeve transforms image generation PSNR Partitioning algorithms Wavelet transforms Multispectral imaging Block codes

来源：评论

学校读者我要写书评

暂无评论

Use of FEC coding for real-time transport on ATM networks

Use of FEC coding for real-time transport on ATM networks

引用

IEEE Workshop on High Performance Switching and Routing

作者： R. Kurceren J.W. Modestino Electrical Computer and Systems Engineering Department and Center for Image Processing Research Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)0780367111

The use of forward error-control (FEC) coding has emerged as a promising approach for real-time transport over ATM networks for cell-loss recovery. The use of an FEC-based transport protocol over networks with bandwidth constraints, however, is not obvious since FEC coding introduces an overhead which can possibly cause additional cell losses which, furthermore, tend to occur in bursts. In this work, an overall performance evaluation of FEC coding is provided by incorporating the effects of channel coding on the cell-loss characteristics of the network. It is shown that FEC coding with proper selection of channel coding rate can significantly improve the throughput at a multiplexer even under correlated cell-loss situations. We also develop and illustrate an information-theoretic approach for incorporating the effects of FEC coding into well-established queueing theory calculations. This is achieved by solving separately the channel-coding problem for the modeled transmission channel and the queueing problem for the network. The performance of some specific coding designs are shown to approach the information-theoretic predictions with increasing complexity and/or delay.

关键词： Forward error correction image coding Transport protocols Channel coding Asynchronous transfer mode systems engineering and theory Bandwidth Throughput Resource management computer networks

来源：评论

学校读者我要写书评

暂无评论

Transport of scalable video over CDMA wireless networks: a joint source coding and power control approach

Transport of scalable video over CDMA wireless networks: a j...

引用

IEEE International Conference on image processing

作者： Yee Sin Chan J.W. Modestino Center for Image Processing Research Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy NY USA

We investigate the transport of scalable digital video over future third-generation (3G) wireless CDMA cellular systems By considering the resource requirements as the aggregate of the products of source coding rates and the energy per information bit to noise ratio, we propose a joint source coding and power control (JSCPC) scheme which simultaneously maximizes the quality of the delivered video while minimizing the total resource consumption. We demonstrate the efficacy of this approach using the ITU-T H.263+ video source coder, although the approach is generally applicable to other source coding schemes as well.

关键词： Multiaccess communication Wireless networks Source coding Power control Video compression systems engineering and theory Streaming media Silicon compounds image processing Power engineering computing

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5页 << < 1 2 3 4 5 > >>

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：