2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)最新文献_第2页

Significance of contrast and structure features for an improved color image classification system 对比度和结构特征对改进彩色图像分类系统的意义

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120608

V. Sowmya, D. Govind, K. Soman

{"title":"Significance of contrast and structure features for an improved color image classification system","authors":"V. Sowmya, D. Govind, K. Soman","doi":"10.1109/ICSIPA.2017.8120608","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120608","url":null,"abstract":"In general, the three main modules of color image classification systems are: color-to-grayscale image conversion, feature extraction and classification. The color-to-grayscale image conversion is the important pre-processing step which must incorporate the significant and discriminative contrast and structure information in the converted grayscale images as in the original color image. All the existing techniques for color-to-grayscale image conversion preserves the significant contrast and structure information in the converted grayscale images in different manners. Hence, the present work is to analyze the significant and discriminative contrast and structure information preserved in the converted grayscale images using two different decolorization techniques called rgb2gray and singular value decomposition based color-to-grayscale image conversion (SVD) applied in the color image classification systems using the three different proposed features. The three different features for color image classification systems are proposed based on the combination of the existing dense SIFT features and the contrast & structure content computed using color-to-gray structure similarity index (C2G-SSIM) metric.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127155850","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

Adaptive feature learning CNN for behavior recognition in crowd scene 基于自适应特征学习CNN的人群场景行为识别

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120636

Aliyu Nuhu Shuaibu, A. Malik, I. Faye

引用次数: 6

Frame based approach for automatic event boundary detection of soccer video using optical flow 基于帧的足球视频光流事件边界自动检测方法

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120644

Devang S. Pandya, M. Zaveri

{"title":"Frame based approach for automatic event boundary detection of soccer video using optical flow","authors":"Devang S. Pandya, M. Zaveri","doi":"10.1109/ICSIPA.2017.8120644","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120644","url":null,"abstract":"Due to rapid growth of digital contents, there has been an increasing demand of summarized videos to save time and other network resources. Automated soccer video analysis is a challenging due to involvement of more actors and rapid movements of players and camera. It is necessary first to detect various events of the video precisely before analyzing and labeling them. This paper proposes frame based approach for the automatic demarcation of events of the soccer video. However this task is very challenging due to variety of soccer leagues, various illumination and ground conditions. To overcome such issues we propose method which is invariant to such conditions and can successfully demarcate the soccer events. We exploit optical flow techniques to measure the motion. We introduce change in optical flow to extract the behavior of an event over the video span. Later, adaptive threshold is computed based on change in optical flow. We conducted number of simulations with variety of videos to validate the method. Proposed method achieves nearly 90% of accuracy and found robust in spite of illumination variation.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126018869","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: 2

Transfer learning for Diabetic Macular Edema (DME) detection on Optical Coherence Tomography (OCT) images 光学相干断层扫描(OCT)图像上糖尿病黄斑水肿(DME)检测的迁移学习

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120662

G. Chan, M. Awais, S. A. A. Shah, T. Tang, Cheng-Kai Lu, F. Mériaudeau

引用次数: 39

Convolutional constellation mapping technique for PAPR reduction in filter bank multi-carrier 滤波器组多载波中减小PAPR的卷积星座映射技术

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120656

A. Eltholth, M. Gaber, M. Fouda, H. Mansour

引用次数: 0

New pilot allocation design schemes for sparse channel estimation in OFDM system OFDM系统中稀疏信道估计的导频分配设计新方案

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120581

Anthony Ngozichukwuka Uwaechia, N. Mahyuddin

{"title":"New pilot allocation design schemes for sparse channel estimation in OFDM system","authors":"Anthony Ngozichukwuka Uwaechia, N. Mahyuddin","doi":"10.1109/ICSIPA.2017.8120581","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120581","url":null,"abstract":"In this paper, the problem of the deterministic pilot allocation for sparse channel estimation in Orthogonal Frequency Division Multiplexing (OFDM) system is investigated. This method is based on mutual coherence minimization of the measurement matrix associated with the OFDM system pilot subcarriers. It is known that if the set of pilot pattern is a Cyclic Difference Set (CDS), the mutual coherence of the measurement matrix is minimized. However, CDS in most practical OFDM system is not available. Few research efforts have tackled the problem of pilot allocation by proposing methods that lead to suboptimal solutions in order to ignore the computationally complex exhaustive search method. This contribution, however, proposes two pilot allocation design schemes for the construction of deterministic partial Fourier matrices satisfying the Restricted Isometry Property (RIP) namely, the Generic Random Search (GRS) and Progressive Search (PS) based on bounding the mutual coherence between different columns of the measurement matrix. Simulation results show that the two proposed pilot allocation design schemes are effective and offer a better channel estimation performance in terms of MSE when compared to former pilot allocation design methods.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134276449","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: 8

Development of speech corpora for Goalparia dialect and similar languages Goalparia方言及类似语言语音语料库的开发

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120600

Tanvira Ismail, L. J. Singh

引用次数: 1

Performance of distance based and path loss based weighted centroid localization algorithms for video capsule endoscope 基于距离和路径损失的视频胶囊内窥镜加权质心定位算法的性能

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120591

Umma Hany, L. Akter

{"title":"Performance of distance based and path loss based weighted centroid localization algorithms for video capsule endoscope","authors":"Umma Hany, L. Akter","doi":"10.1109/ICSIPA.2017.8120591","DOIUrl":"https://doi.org/10.1109/ICSIPA.2017.8120591","url":null,"abstract":"In this paper, we propose distance and path loss based weighted centroid localization (WCL) algorithms for video capsule endoscope (VCE) using the received signal strength indicator (RSSI). We evaluate the performance of both algorithms considering real channel characteristics of human body. One of the major challenge in RSSI based VCE localization is the shadow fading and multi-path propagation effects of non-homogeneous medium of human body for which the measured RSSI is highly random resulting in high localization error. Again, due to the complex environment of experiment, accurate estimation of the channel parameters is quite difficult. We evaluate the performance of both algorithms in presence of randomness in path loss and estimation errors in channel parameters. To address the randomness issue, we estimate the smoothed path loss using moving averaging filter. Then, we introduce 10–50% errors in channel parameters to analyze the performance of both algorithms. We develop a simulation tool using MATLAB to visualize the results and to compare the performance. We observe significant improvement in performance by applying moving averaging method of smoothed path loss estimation using both algorithms. We also observe that the accuracy of distance based WCL decreases significantly in presence of errors in channel parameters. Whereas path loss based WCL is robust to the errors in channel parameters as it estimates the positions by using the estimated path loss directly without prior precise knowledge of channel parameters.","PeriodicalId":268112,"journal":{"name":"2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125287123","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: 1

Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation 认知康复fNIRS-BCI系统中心理负荷的动态优化

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120629

W. Ung, T. Tang, F. Mériaudeau, Esther Gunaseli M. Ebenezer

引用次数: 1

Design and execution of single input multiple output DC-DC converter 单输入多输出DC-DC变换器的设计与实现

2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA) Pub Date : 2017-09-01 DOI: 10.1109/ICSIPA.2017.8120599

R. Kannan, Nur Izzati Abdul Samad, M. Romlie, N. M. Nor, L. Kumar

引用次数: 1