检索结果-内蒙古大学图书馆

Video retrieval based on scene change detection in compressed streams

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1999年第3期45卷 932-936页

作者： Kang, EK Kim, SJ Choi, JS Chung Ang Univ Dept Elect Engn Tongjak Ku Seoul 156756 South Korea

This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for a fast content-based browsing and retrieval in a video database. We first extract key frames by matching AHIM (Accumulated Histogram Intersection Measure) of DC image sequence constructed from the MPEG video sequence. Then we use the region segmentation-based projective histogram and its moments as database indices for video retrieval.

关键词： Video compression Layout Information retrieval Image databases Histograms Image coding change detection algorithms Content based retrieval Image sequences Transform coding

来源：评论

学校读者我要写书评

暂无评论

Quadratic tests for detection of abrupt changes in multivariate signals

引用

IEEE TRANSACTIONS ON SIGNAL PROCESSING 1999年第9期47卷 2534-2538页

作者： Nikiforov, IV Univ Technol Troyes Dept Genie Syst Informat & Decis Lab Modelizat & Surete Syst Troyes France

This correspondence considers the problem of detecting abrupt changes in the mean of a multivariate Gaussian random signal. A fixed sample size chi(2)-test is compared against the optimum sequential tests (chi(2)-CUSU... 详细信息

关键词： Testing Sequential analysis Vectors Ellipsoids Signal to noise ratio Probability change detection algorithms detection algorithms Delay effects Gaussian distribution

来源：评论

学校读者我要写书评

暂无评论

Wipe scene change detection in video sequences

Wipe scene change detection in video sequences

引用

IEEE International Conference on Image Processing

作者： W.A.C. Fernando C.N. Canagarajah D.R. Bull Image Communications Group Centre for Communications Research University of Bristol Bristol UK

This paper presents a novel algorithm for wipe scene change detection in video sequences. In the proposed scheme, each image in the sequence is mapped to a reduced image. Then we use statistical features and structural properties of the images to identify wipe transition region. Finally, Hough transform is used to analyse the wiping pattern and the direction of wiping. Results show that the algorithm is capable of detecting all wipe regions accurately even when the video sequence contains other special effects.

关键词： Layout Video sequences Rhythm change detection algorithms Image edge detection Image communication Pattern analysis Cameras Gunshot detection systems Production

来源：评论

学校读者我要写书评

暂无评论

Video retrieval based on scene change detection in compressed streams

Video retrieval based on scene change detection in compresse...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： Eung Kwan Kang Sung Joo Kim Jong Soo Choi Department of Electronic Engineering Chung-Ang University Seoul South Korea

ISBN: (纸本)0780351231

This paper presents a new key frame extraction algorithm as well as a novel video-indexing scheme for fast content-based browsing and retrieval in video databases. We first extract key frames by matching the AHIM (accumulated histogram intersection measure) of the DC image sequence constructed from the MPEG video sequence. Then we use the region segmentation-based projective histogram and its moments as database indices for video retrieval.

关键词： Video compression Layout Information retrieval Image databases Histograms Image coding change detection algorithms Content based retrieval Image sequences Transform coding

来源：评论

学校读者我要写书评

暂无评论

Image analysis for video surveillance based on spatial regularization of a statistical model-based change detection

Image analysis for video surveillance based on spatial regul...

引用

International Conference on Image Analysis and Processing

作者： F. Ziliani A. Cavallaro Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

Advanced video surveillance applications require two successive steps: image analysis and content understanding. The first step analyses and extracts the characteristics of the video sequence. It defines the regions or the objects of interest according to their spatial/temporal properties. This analysis results in a segmentation of the video sequence. This is interpreted by the content understanding step according to the specific scenario and surveillance requirements. This paper addresses the image analysis problem for a video surveillance system. We use a statistical model-based change detection technique that defines the areas of interest in the image. Each area is analyzed separately by integrating spatial and temporal descriptors in a multi-feature clustering algorithm. The selective procedure we propose minimizes the computational load and significantly improves the results provided by the change detection technique. We test this method on both indoor and outdoor surveillance sequences. All the results show a correct segmentation of the scene. Moreover each object defined in the segmentation is described in terms of its spatial and temporal properties. These results can represent a valid input for a later content understanding procedure in several surveillance scenarios.

关键词： Image analysis Video surveillance Image sequence analysis Video sequences Image segmentation Algorithm design and analysis change detection algorithms Clustering algorithms Testing Layout

来源：评论

学校读者我要写书评

暂无评论

Backscattering change detection in SAR images using wavelet techniques

Backscattering change detection in SAR images using wavelet ...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Mingquan Bao Center for Remote Imaging Sensing and Processing Faculty of Science National University of Singapore Singapore

Backscattering change detection in synthetic aperture radar (SAR) is a challenging task, due to the presence of speckle noise. A 3-dimensional (2 spatial and 1 time dimension) wavelet shrinkage algorithm is developed to remove the noise. Compared to the often used 2-dimensional SAR wavelet shrinkage algorithm, this 3-dimensional algorithm exploits the correlation between SAR images, and therefore, a better signal to noise ratio is obtained. Furthermore, an autoregressive (AR) model is applied to analyze the temporal changes of radar backscattering. The change detection can be performed according to the AR model coefficients. Radarsat and ERS-2 SAR images are used to test this algorithm. The results show a significant improvement in the backscattering change detection.

关键词： Backscatter Speckle Radar detection change detection algorithms Filters Wavelet transforms Wavelet coefficients Wavelet domain Synthetic aperture radar Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

change detection in signals using linear regression models

Change detection in signals using linear regression models

引用

IEEE International Symposium on Computer Aided Control System Design (CACSD)

作者： T.D. Popescu Research Institute for Informatics Bucharest Romania

The problem of change detection in signals using linear regression models is addressed. Most of the algorithms presented make use of two AR models: a reference model and a current model updated via a sliding block. changes are detected when a suitable distance between these two models is high. Three distance measures are considered in the paper: cepstral distance, log-likelihood ratio (justified by GLR) and a distance involving the cross-entropy of the two conditional probabilities laws (divergence test). Finally, a change detection algorithm using three models and the evolution of Akaike's information criterion is presented. Some results on the application of the discussed algorithms in seismic signal segmentation are included.

关键词： Signal detection Linear regression Testing Signal processing Acoustic signal detection Delay estimation Informatics change detection algorithms Biomedical measurements Geophysical measurements

来源：评论

学校读者我要写书评

暂无评论

An MRF approach to unsupervised change detection

An MRF approach to unsupervised change detection

引用

IEEE International Conference on Image Processing

作者： L. Bruzzone D. Fernandez Prieto Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy

An approach to the automatic analysis of the difference image for change detection in multitemporal remote sensing images is proposed. This approach is based on a technique that exploits the expectation-maximization (EM) algorithm for the estimation of the density functions associated with both the changed and unchanged pixels in the difference image. Then, on the basis of such estimates, an automatic method for the unsupervised analysis of the difference image is described. The method makes use of Markov random fields (MRFs) for modeling the spatial-contextual information included in the neighborhood of each pixel. Experimental results confirm the effectiveness of the proposed approach.

关键词： Pixel Image analysis Remote sensing change detection algorithms Bayesian methods Markov random fields Layout Image processing Surveillance Video coding

来源：评论

学校读者我要写书评

暂无评论

Automatic snakes for robust lip boundaries extraction

Automatic snakes for robust lip boundaries extraction

引用

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

作者： P. Delmas P.Y. Coulon V. Fristot Signal and Image Laboratory Grenoble National Polytechnical Institute Grenoble France

Active contours or snakes are widely used in object segmentation for their ability to integrate feature extraction and pixel candidate linking in a single energy minimizing process. But the sensitivity to parameters values and initialization is also a widely known problem. The performance of snakes can be enhanced by better initialization close to the desired solution. We present a fine mouth region of interest (ROI) extraction using gray level image and corresponding gradient information. We link this technique with an original snake method. The automatic snakes use spatially varying coefficients to remain along its evolution in a mouth-like shape. Our experimentations on a large image database prove its robustness regarding speakers change of the ROI mouth extraction and automatic snakes algorithms. The main application of our algorithms is video-conferencing.

关键词： Robustness Mouth Convergence Active contours Laboratories Shape Data mining Object segmentation Joining processes change detection algorithms

来源：评论

学校读者我要写书评

暂无评论

Automatic radionuclide lung scan registration: a comparison of four methods

Automatic radionuclide lung scan registration: a comparison ...

引用

IEEE Symposium on Nuclear Science (NSS/MIC)

作者： SuChin Chen Coutre M.W. Evens S.G. Armato R. Orlandic Department of Computer Science Illinois Institute of Technology Chicago IL USA Department of Radiology University of Chicago Chicago IL USA

Most current image registration methods require some degree of user interaction. The present study investigates four fully automated methods to register radionuclide ventilation and perfusion (V/Q) lung scan images. The database of 34 clinical lung scans included a range of normal and abnormal images. Each V/Q scan was used to create a V/Q composite image, which is a superimposition of the registered ventilation and perfusion images, Color-enhanced V/Q composite images facilitate measurement of V/Q ratios, identification of ventilation or perfusion defects, and detection of temporal change and may assist in patient diagnosis and therapy planning. We present four algorithms: one-dimensional V/Q automatic registration method (VQARM), center-of-object registration (COO), two-dimensional linear Pearson correlation with background subtraction (2DLPC), and conditional entropy registration (CE). Each algorithm will be described in detail, and the relative performances will be compared.

关键词： Lungs Ventilation Image registration Q measurement change detection algorithms Blood flow Performance evaluation Computer science Radiology Registers

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：