2011 International Conference on Image Information Processing最新文献

Analytical study of parallel and distributed image processing 并行与分布式图像处理的分析研究

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108870

H. Prajapati, S. Vij

引用次数: 28

Diagnosis of Invasive Ductal Carcinoma using image processing techniques 应用图像处理技术诊断浸润性导管癌

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108877

A. R. Chaudhury, Ranjani B Iyer, Kaveri Iychettira, A. Sreedevi

引用次数: 7

Vision based preceding vehicle detection using self shadows and structural edge features 基于自阴影和结构边缘特征的视觉前车检测

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108922

Aditya R. Kanitkar, B. Bharti, U. N. Hivarkar

引用次数: 7

Tuning topical queries for effective information retrieval 调优主题查询以实现有效的信息检索

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108983

Mayank Saini, Dharmendar Sharma

{"title":"Tuning topical queries for effective information retrieval","authors":"Mayank Saini, Dharmendar Sharma","doi":"10.1109/ICIIP.2011.6108983","DOIUrl":"https://doi.org/10.1109/ICIIP.2011.6108983","url":null,"abstract":"How anyone can find the desired bit of information with respect to his/her own context from the ocean of information resided in multiple databases and text repositories growing at an enormous rate. Information retrieval systems (IRS) are use to find information as output with respect to the user query as input. Effectiveness of information retrieval system hugely depends upon the query formation. Various factors affecting query formation are media expertise, domain expertise and type of search [1,2]. Search engines are necessary tools for information retrieval from World Wide Web. Conventional search engines like Google, Yahoo etc. have huge amount of data. To retrieve the information from these conventional search engines which serve the population on the whole without much concerning about user context require user query expressive enough about user context and need. In our paper we have proposed a model to build a context based search engine on the conventional search engine using genetic algorithm. We have tried to find out good query terms in context of user to find user specific retrieval. We have used these terms for query expansion or reformulation.","PeriodicalId":201779,"journal":{"name":"2011 International Conference on Image Information Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126107553","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

A robust area based disparity estimation technique for stereo vision applications 基于区域的视差估计技术在立体视觉中的应用

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108958

H. S. Sidhu, Satish Kumar, Amitava Das, H. K. Sardana

引用次数: 4

Performance analysis of spectrum efficiency of cognitive radio 认知无线电频谱效率性能分析

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108938

K. R. Kashwan, R. Anuraj

引用次数: 0

Data mining by density estimation using wavelet 基于小波密度估计的数据挖掘

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108888

D. Datta

引用次数: 0

Minutiae based thermal face recognition using blood perfusion data 基于细节的热人脸识别，利用血液灌注数据

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108928

A. Seal, M. Nasipuri, D. Bhattacharjee, D. K. Basu

{"title":"Minutiae based thermal face recognition using blood perfusion data","authors":"A. Seal, M. Nasipuri, D. Bhattacharjee, D. K. Basu","doi":"10.1109/ICIIP.2011.6108928","DOIUrl":"https://doi.org/10.1109/ICIIP.2011.6108928","url":null,"abstract":"This paper describes an efficient approach for human face recognition based on blood perfusion data from infra-red face images. Blood perfusion data are characterized by the regional blood flow in human tissue and therefore do not depend entirely on surrounding temperature. These data bear a great potential for deriving discriminating facial thermogram for better classification and recognition of face images in comparison to optical image data. Blood perfusion data are related to distribution of blood vessels under the face skin. A distribution of blood vessels are unique for each person and as a set of extracted minutiae points from a blood perfusion data of a human face should be unique for that face. There may be several such minutiae point sets for a single face but all of these correspond to that particular face only. Entire face image is partitioned into equal blocks and the total number of minutiae points from each block is computed to construct final vector. Therefore, the size of the feature vectors is found to be same as total number of blocks considered. For classification, a five layer feed-forward backpropagation neural network has been used. A number of experiments were conducted to evaluate the performance of the proposed face recognition system with varying block sizes. Experiments have been performed on the database created at our own laboratory. The maximum success of 91.47% recognition has been achieved with block size 8×8.","PeriodicalId":201779,"journal":{"name":"2011 International Conference on Image Information Processing","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123985597","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: 21

An efficient face recognition approach using PCA and minimum distance classifier 基于PCA和最小距离分类器的高效人脸识别方法

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108906

Soumen Bag, G. Sanyal

引用次数: 21

Automated maze solving using fluid mechanics based numerical approach 基于流体力学数值方法的自动迷宫求解

2011 International Conference on Image Information Processing Pub Date : 2011-12-22 DOI: 10.1109/ICIIP.2011.6108920

P. Venkata, S. K. Bose, D. Sarode, P. Shete, A. G. Apte, Karimulla Shaik

引用次数: 2