2006 International Conference on Image Processing最新文献

Elliptic Metric K-NN Method with Asymptotic MDL Measure 具有渐近MDL测度的椭圆度量K-NN方法

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312864

T. Satonaka, K. Uchimura

引用次数: 0

Disparity-Based 3D Face Modeling for 3D Face Recognition 基于差异的三维人脸建模用于三维人脸识别

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312416

A. Ansari, M. Abdel-Mottaleb, M. Mahoor

引用次数: 3

New Results on Efficient Optimal Multilevel Image Thresholding 高效最优多级图像阈值分割的新结果

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312426

Martin Luessi, Marco Eichmann, G. Schuster, A. Katsaggelos

引用次数: 21

Segmentation of Drosophila RNAI Fluorescence Images Using Level Sets 果蝇RNAI荧光图像的水平集分割

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312365

Guanglei Xiong, Xiaobo Zhou, L. Ji, P. Bradley, N. Perrimon, Stephen T. C. Wong

引用次数: 36

Calibrating Head Pose Estimation in Videos for Meeting Room Event Analysis 用于会议室事件分析的视频头部姿态估计校准

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.313066

J. Tu, Thomas S. Huang, Yingen Xiong, R. Rose, Francis K. H. Quek

{"title":"Calibrating Head Pose Estimation in Videos for Meeting Room Event Analysis","authors":"J. Tu, Thomas S. Huang, Yingen Xiong, R. Rose, Francis K. H. Quek","doi":"10.1109/ICIP.2006.313066","DOIUrl":"https://doi.org/10.1109/ICIP.2006.313066","url":null,"abstract":"In this paper, we study the calibration of head pose estimation in stereo camera setting for meeting room video event analysis. Head pose information infers the direction of attention of the subjects in video, therefore is valuable for video event analysis/indexing, especially in meeting room scenario. We are developing a multi-modal meeting room data analyzing system for studying meeting room interaction dynamics, in which head pose estimation is one of the key components. As each subject in the meeting room can be observed by a pair of stereo cameras, we do 2D head tracking for the subject in each camera, and the 3D coordinate of the head can be obtained by triangulation. The 3D head pose is estimated in one of the camera coordinate system, we develop a procedure to accurately convert the estimated 3D pose in the camera coordinate system to that in the world coordinate system. In the experiment, visualization of the estimated head pose and location in world coordinate system verifies the soundness of our design. The estimated head pose and 3D location of the subjects in the meeting room allows further analysis of meeting room interaction dynamics, such as F-formation, floor-control, etc.","PeriodicalId":299355,"journal":{"name":"2006 International Conference on Image Processing","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129102104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A Model-Based Evaluation Methodology for Assessing the Efficacy of Packet-Level FEC for Delay-Constrained Video Network Transport 基于模型的延迟约束视频网络传输中分组级FEC有效性评估方法

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312554

Xunqi Yu, J. Modestino, Y. Chan

引用次数: 4

Perceptual Feature Selection for Semantic Image Classification 语义图像分类的感知特征选择

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.313130

Dejan Depalov, T. Pappas, Dongge Li, B. Gandhi

{"title":"Perceptual Feature Selection for Semantic Image Classification","authors":"Dejan Depalov, T. Pappas, Dongge Li, B. Gandhi","doi":"10.1109/ICIP.2006.313130","DOIUrl":"https://doi.org/10.1109/ICIP.2006.313130","url":null,"abstract":"Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, according to meaningful categories. In recent papers we introduced a new approach for semantic image classification that relies on the adaptive perceptual color-texture segmentation algorithm proposed by Chen et al. This algorithm combines knowledge of human perception and signal characteristics to segment natural scenes into perceptually uniform regions. The resulting segments can be classified into semantic categories using region-wide features as medium level descriptors. Such descriptors are the key to bridging the gap between low-level image primitives and high-level image semantics. The segment classification is based on linear discriminant analysis techniques. In this paper, we examine the classification performance (precision and recall rates) when different sets of region-wide features are used. These include different color composition features, spatial texture, and segment location. We demonstrate the effectiveness of the proposed techniques on a database that includes 9000 segments from approximately 2500 photographs of natural scenes.","PeriodicalId":299355,"journal":{"name":"2006 International Conference on Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121287700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Supershape Recovery from 3D Data Sets 从3D数据集的超形状恢复

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312975

Y. Fougerolle, A. Gribok, S. Foufou, F. Truchetet, M. Abidi

引用次数: 14

A New Contourlet Transform with Sharp Frequency Localization 一种新的具有锐利频率定位的Contourlet变换

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312657

Yue M. Lu, M. Do

引用次数: 165

Parameter Estimation in Bayesian Reconstruction of Multispectral Images using Super Resolution Techniques 基于超分辨率技术的多光谱图像贝叶斯重建参数估计

2006 International Conference on Image Processing Pub Date : 2006-12-01 DOI: 10.1109/ICIP.2006.312720

R. Molina, M. Vega, J. Mateos, A. Katsaggelos

引用次数: 7