2007 IEEE International Symposium on Signal Processing and Information Technology最新文献_第8页

Spatial Clustering of Wireless Sensor Network Nodes Based on Packet Loss 基于丢包的无线传感器网络节点空间聚类

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458042

Ahmed Y. Tawfik, R. El-Marakby

引用次数: 0

A New Motion-Texture Graph for Generating Real-time Realistic Human Motions 一种新的运动纹理图，用于生成实时逼真的人体运动

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458208

Amal Abdel-Karim, Aboul-Hassan, Amin Fahmy Shoukry, Bibliotheca Alexandrina

{"title":"A New Motion-Texture Graph for Generating Real-time Realistic Human Motions","authors":"Amal Abdel-Karim, Aboul-Hassan, Amin Fahmy Shoukry, Bibliotheca Alexandrina","doi":"10.1109/ISSPIT.2007.4458208","DOIUrl":"https://doi.org/10.1109/ISSPIT.2007.4458208","url":null,"abstract":"Motion-Texture synthesis is a new field of research which aims at generating new human motions from a given motion capture (MoCap) data. The success of such techniques depends on the right selection of interpolation and distance functions among the motion data. Although the quaternion representation is the most mathematically accurate one, it is usually avoided due to the heavy computations needed. This paper proposes a fast technique for Motion-Texture synthesis using qauternions and based on Markov Random Fields Model (MRF) model. The current work proposes a new Motion-Texture Graph called Quaternions MRF Motion- Texture Graph (QMMTG). QMMTG technique uses quaternions to devise a proposed fast matching criterion and a proposed simple method for smoother transitions among QMMTG nodes. QMMTG technique manages to generate a wider range of new motions and even better results in some cases. Besides, the smoothing algorithm has perceptually enhanced the resulting motions in comparison to the previous works. The authors envision QMMTG as a start for benefiting from the quaternions accuracy in real-time Motion- Texture synthesis applications.","PeriodicalId":299267,"journal":{"name":"2007 IEEE International Symposium on Signal Processing and Information Technology","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116921880","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: 0

Efficient Synthesis of Arbitrary Viewpoint Images Using 3-D Geometric Model and Mesh-Based Specular Reflection Tracing 利用三维几何模型和基于网格的镜面反射跟踪高效合成任意视点图像

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458151

K. Nishitani, G. Sugimura, H. Kobayashi, K. Fukuda, A. Kawanaka

{"title":"Efficient Synthesis of Arbitrary Viewpoint Images Using 3-D Geometric Model and Mesh-Based Specular Reflection Tracing","authors":"K. Nishitani, G. Sugimura, H. Kobayashi, K. Fukuda, A. Kawanaka","doi":"10.1109/ISSPIT.2007.4458151","DOIUrl":"https://doi.org/10.1109/ISSPIT.2007.4458151","url":null,"abstract":"A novel image synthesis method of an object at arbitrary viewpoint by using the 3-D geometric model and several camera images is proposed. Although the image-based rendering synthesizes the relatively accurate diffuse reflection component from the camera images from different viewpoints, it can not synthesize the specular reflection component with sufficient accuracy as the movement of the specular reflection component as the changes in viewpoints are not taken into consideration. In order to overcome this problem, we propose a method for synthesizing the arbitrary viewpoint images with the use of the displacement vectors of the specular reflection components. The displacement vectors are estimated by a hexagonal matching algorithm based on the triangle mesh model which was modified for arbitrary shaped images. In the hexagonal matching, the images synthesized from 3-D geometric model of a real object and camera images are used as reference image. The experiments show that the proposed method reconstructs the specular reflection components more accurately and also improves the coding performance compared to the conventional methods.","PeriodicalId":299267,"journal":{"name":"2007 IEEE International Symposium on Signal Processing and Information Technology","volume":"130 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113953570","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: 0

Analysis and Parallelization of H.264 decoder on Cell Broadband Engine Architecture 基于蜂窝宽带引擎架构的H.264解码器分析与并行化

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458128

Hyunki Baik, Kue-Hwan Sihn, Yun-il Kim, Sehyun Bae, Najeong Han, H. Song

引用次数: 34

Detecting Digital Image Forgeries Through Weighted Local Entropy 基于加权局部熵的数字图像伪造检测

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458021

Chi Zhang, Hongbin Zhang

引用次数: 12

Use of the MPEG-4 ALS Architecture and Inter-channel Prediction for Multi-channel ECG Coding 多通道心电编码中mpeg - 4als结构的应用及信道间预测

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458176

N. Sgouros, I. Constantinou, G. Loudos, S.A. Kossida

引用次数: 4

Fast Digital Image Colorization Technique 快速数字图像着色技术

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458137

Przemyslaw Lagodzinski, Bogdan Smolka, Przemyslaw Lagodzinski@polsl Pl, Pl

{"title":"Fast Digital Image Colorization Technique","authors":"Przemyslaw Lagodzinski, Bogdan Smolka, Przemyslaw Lagodzinski@polsl Pl, Pl","doi":"10.1109/ISSPIT.2007.4458137","DOIUrl":"https://doi.org/10.1109/ISSPIT.2007.4458137","url":null,"abstract":"Colorization is a term used to describe a computerized process for adding color to black and white pictures, movies or TV programs. This process involves replacing a scalar value stored at each pixel of the gray scale image that represents its intensity or luminance by a vector in a three dimensional color space with luminance, saturation and hue or simply RGB. Since mapping between intensity and color has no inherently \"correct\" solution, human interaction and/or external information usually play a large role. In this paper we present a novel colorization method that takes advantage of the morphological distance transformation and image structures to propagate color within the gray scale image. The proposed method does not need precise segmentation, since the color is provided simply by scribbles which are next automatically propagated within the image. The effectiveness of the algorithm allows the user to work interactively and to obtain the desired results promptly after providing the color scribbles. In the paper we show that the proposed method allows for high quality colorization results for still images.","PeriodicalId":299267,"journal":{"name":"2007 IEEE International Symposium on Signal Processing and Information Technology","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127099819","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: 12

Fourier Descriptor for Pedestrian Shape Recognition using Support Vector Machine 基于傅立叶描述子的支持向量机行人形状识别

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458054

N. Tahir, A. Hussain, M. Mustafa, S. Samad, Hafizah Husin

引用次数: 19

Closed frequent itemsets mining and structuring association rules based on Q-analysis 基于q -分析的封闭频繁项集关联规则挖掘与结构化

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458017

A. Boulmakoul, Abdelfatah Idri, R. Marghoubi

引用次数: 3

Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery 高光谱图像的高效层次pca降维

2007 IEEE International Symposium on Signal Processing and Information Technology Pub Date : 2007-12-01 DOI: 10.1109/ISSPIT.2007.4458191

Abhishek Agarwal, T. El-Ghazawi, Hesham El-Askary, Jacquline Le-Moigne

{"title":"Efficient Hierarchical-PCA Dimension Reduction for Hyperspectral Imagery","authors":"Abhishek Agarwal, T. El-Ghazawi, Hesham El-Askary, Jacquline Le-Moigne","doi":"10.1109/ISSPIT.2007.4458191","DOIUrl":"https://doi.org/10.1109/ISSPIT.2007.4458191","url":null,"abstract":"Hyperspectral systems have improved significantly through recent advancements in sensor technology, which have made possible to acquire data with several hundred channels. These advances provide the possible benefit of not only collecting more detailed information than previously possible, but also of producing more accurate data. Some of the major challenges in handling such large data sets are removing redundant information and assuring the continued relevance of vital information to the application at hand. For example, conventional methods for land use and land cover classifications may not be applicable, due to the large data volumes used to characterize hyperspectral cubes. Therefore, these conventional methods may require a preprocessing step, namely dimension reduction. Dimension reduction can be seen as a transformation from a high order dimension to a low order dimension in order to conquer the so- called \"curse of the dimensionality,\" which eliminates data redundancy. Principal Component Analysis (PCA) is one such data reduction technique, which is often used when analyzing remotely sensed data. In computing the principal components, the eigenvalues of the covariance matrix of the 3-D image must be computed. Since this is a global operation it requires high computational resources and requires whole image to be stored which increases memory requirements. This paper reports an hierarchical algorithm, which can effectively reduce the hyperspectral data to intrinsic dimensionality. In the hierarchical PCA, we break the image into various parts and then perform PCA on each part separately and then combine the results. The classification results over the original and the resulting reduced data have been compared. The results show that reduced data obtained by hierarchical PCA can compare favorably to the results obtained from original data.","PeriodicalId":299267,"journal":{"name":"2007 IEEE International Symposium on Signal Processing and Information Technology","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116609791","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: 142