2015 Third International Conference on Image Information Processing (ICIIP)最新文献

Development of a kinect-based physical rehabilitation system 基于运动学的肢体康复系统的研制

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414802

Param Uttarwar, Deepak Mishra

{"title":"Development of a kinect-based physical rehabilitation system","authors":"Param Uttarwar, Deepak Mishra","doi":"10.1109/ICIIP.2015.7414802","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414802","url":null,"abstract":"Shoulder injuries are very common in sports and certain labour intensive occupations. While some injuries are minor and full recovery is within 1-2 weeks, some major injuries requires the person to consult a physiotherapist and follow an exercise plan for months for full recovery. With the advent of consumer accessible motion capture (MoCap) technologies, the task of conducting daily rehabilitation routine and evaluation which was previously done by a trained physiotherapist can be now done with computers which can be set up in home. In this paper, we propose a system for medical rehabilitation of patients suffering from shoulder injuries. We use Hidden Markov Models (HMM) for recognition and a histogram-based comparison for computing the accuracy score. The Microsoft Kinect sensor is used to obtain 3D coordinates of human joints. Important features are extracted from the skeletal coordinates which are then quantized into 16 intermediate upper-body poses. The temporal patterns of these upper-body poses are modelled by training an HMM for each exercise. Our system recognizes different exercises performed by the patient and assigns an accuracy score for each exercise carried out in a session. It intends to help the patient by keeping track of daily exercise routine, advising for improvements and maintaining records for doctor to access.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354537","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: 14

Biometric watermarking using partial DCT-Walsh wavelet and SVD 基于部分DCT-Walsh小波和奇异值分解的生物特征水印

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414752

H. B. Kekre, T. Sarode, S. Natu

{"title":"Biometric watermarking using partial DCT-Walsh wavelet and SVD","authors":"H. B. Kekre, T. Sarode, S. Natu","doi":"10.1109/ICIIP.2015.7414752","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414752","url":null,"abstract":"Biometric has ever increasing demand in the field of security. However, integrity and security of biometric used to authenticate a legal user are the inherited problems of it. Since watermarking hides one form of digital data into other, its use in securing biometric data gives an added advantage. This concept has led to biometric watermarking technique in which one biometric can be embedded into another biometric feature of user to enhance security. In this paper a robust biometric watermarking technique using face images as host and iris images as watermark has been proposed with the combination of hybrid wavelet and Singular Value Decomposition. DCT-Walsh hybrid wavelet transform is used in its partial form (column transform) on host and watermark images. Low frequency coefficients of partially transformed hosts are subjected to SVD. Singular values of partially transformed watermark are adaptively scaled and are embedded in these singular values of host. Robustness of proposed technique is evaluated against compression, selective and random cropping, noise addition and resizing attack. Average absolute pixel difference between embedded and extracted watermark is used as similarity measure between them. Proposed technique is observed to be highly robust against these attacks except selective cropping. However this limitation is eliminated when iris images are embedded in middle frequency coefficients of host.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126826500","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: 5

Efficient Nystrom method for low rank approximation and error analysis 高效的Nystrom法低秩逼近及误差分析

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414831

L. Patel, S. Sana, S. P. Ghrera

引用次数: 0

Image enhancement using combined ICA and PCA based filtering in HSV domain 基于ICA和PCA的HSV域联合滤波图像增强

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414709

Nidhi Chahal, Sakshi Sharma

{"title":"Image enhancement using combined ICA and PCA based filtering in HSV domain","authors":"Nidhi Chahal, Sakshi Sharma","doi":"10.1109/ICIIP.2015.7414709","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414709","url":null,"abstract":"Image enhancement is mostly expanding the perception of data in pictures for individual viewers and giving enhanced information to other image processing techniques. Image enhancement is a digital processing method which does its best to improve image vision and makes the image adapt to be processed by computer. As well, the need for contrast enhancement also arises from the fact that current softcopy display devices are incapable of displaying as many different discernible levels of luminance as can be recorded in a digital image. It really enhances some information inside the image selectively and restrains the other ones. In this way, it is easy to detect and recognize useful information. It generally yields satisfactory results if the proper technique is selected for a given application along with the proper processing parameters. In the presented paper, first section gives a brief introduction to the image enhancement, the second section contains a brief literature about the previous work done and the third section contains proposed issue and related proposed method to enhance the image. The proposed system works by tracking the edges using ICA and PCA based filtering by firstly transforming the image into HSV domain and then applying the filtering and contrast change, after that the image is again converted to visible form and analyzed under PSNR, MSE and Standard Deviation.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128425495","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

Automated ball tracking in tennis videos 网球视频中的自动球跟踪

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414772

Tayeba Qazi, Prerana Mukherjee, Siddharth Srivastava, Brejesh Lall, N. Chauhan

引用次数: 13

An optical character recognition of machine printed Oriya script 一种光学字符识别机打印的奥里亚文字

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414832

A. Raj

引用次数: 10

Power aware resource allocation policy for hybrid cloud 混合云的电力感知资源分配策略

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414791

Ravi Shankar Jha, Punit Gupta

{"title":"Power aware resource allocation policy for hybrid cloud","authors":"Ravi Shankar Jha, Punit Gupta","doi":"10.1109/ICIIP.2015.7414791","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414791","url":null,"abstract":"Cloud computing is now trending and more popular in these days for the computation and adopted by many companies like google, amazon, Microsoft etc., As the cloud size increases with increase in number of data center power consumption over a data center increases. As number of request over the data center increase with increase in load and power consumption of the data center. So the requests need to be balanced in such manner which having more effective strategy for utilization of resources and reduction in power consumption. Hybrid cloud computing made it more complicated with respective to requests type that may increase or decrease power consumption. A recent survey on cloud computation shows that the power consumption of a server, increasing in a linear way due to utilization of resource (processors). Request balancing in such manner without having knowledge of load over server maximize resource utilization but also increasing power consumption at server. So to overcome these issues in cloud Infrastructure as a service (IaaS), we have proposing a load balancing algorithm to minimize the power consumption and cost over a data center. Proposed algorithm has proven to have better performance in term of load and power efficiency as compared to previously proposed load balancing algorithm for cloud IaaS.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115876784","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: 4

Detection of Sudoku puzzle using image processing and solving by Backtracking, Simulated Annealing and Genetic Algorithms: A comparative analysis 基于图像处理的数独检测与回溯、模拟退火和遗传算法求解的比较分析

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414762

Snigdha Kamal, S. Chawla, Nidhi Goel

引用次数: 10

Evaluation of cost function for the oct tree segmentation of video cube 视频立方体oct树分割的代价函数评估

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414806

Rupesh Kumar, Sumana Gupta, K. Venkatesh

引用次数: 0

Power aware resource virtual machine allocation policy for cloud infrastructure 云基础设施的电源感知资源虚拟机分配策略

2015 Third International Conference on Image Information Processing (ICIIP) Pub Date : 2015-12-21 DOI: 10.1109/ICIIP.2015.7414776

Ravi Shankar Jha, Punit Gupta

{"title":"Power aware resource virtual machine allocation policy for cloud infrastructure","authors":"Ravi Shankar Jha, Punit Gupta","doi":"10.1109/ICIIP.2015.7414776","DOIUrl":"https://doi.org/10.1109/ICIIP.2015.7414776","url":null,"abstract":"Cloud computing is now trending and more popular in these days for the computation and adopted by many companies like google, amazon, Microsoft etc., As the cloud size increases with increase in number of data center power consumption over a data center increases. As number of request over the data center increase with increase in load and power consumption of the data center. So the requests need to be balanced in such manner which having more effective strategy for utilization of resources and reduction in power consumption. A recent survey on cloud computation shows that the power consumption of a server, increasing in a linear way due to utilization of resource (processors). Request balancing in such manner without having knowledge of load over server maximize resource utilization but also increasing power consumption at server. So to overcome these issues in cloud Infrastructure as a service (IaaS), we have proposing a load balancing algorithm to minimize the load, power consumption and cost over a server. Proposed algorithm has proven to have better performance in term of load and power efficiency as compared to previously proposed load balancing algorithm for cloud IaaS.","PeriodicalId":144495,"journal":{"name":"2015 Third International Conference on Image Information Processing (ICIIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134591309","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: 3