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International Conference on Information Photonics最新文献

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The High Performance Image Encryption Method Based on HAD-L 基于 HAD-L 的高性能图像加密方法
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_14
P. Mithun, J. Indumathi
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引用次数: 0
The Appraised Structure for Improving Quality in the Compressed Image Using EQI-AC Algorithm 使用 EQI-AC 算法提高压缩图像质量的评估结构
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_19
M. Durairaj, J. Asha
{"title":"The Appraised Structure for Improving Quality in the Compressed Image Using EQI-AC Algorithm","authors":"M. Durairaj, J. Asha","doi":"10.1007/978-3-030-51859-2_19","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_19","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"43 9","pages":"201-217"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206482","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
Differential Evolution with Different Crossover Operators for Solving Unconstrained Global Optimization Algorithms 用不同的交叉算子解决无约束全局优化算法的差分进化论
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_35
K. Saketh, K. Sumanth, P. Kartik, K. S. S. Aneeswar, G. Jeyakumar
{"title":"Differential Evolution with Different Crossover Operators for Solving Unconstrained Global Optimization Algorithms","authors":"K. Saketh, K. Sumanth, P. Kartik, K. S. S. Aneeswar, G. Jeyakumar","doi":"10.1007/978-3-030-51859-2_35","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_35","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"33 13","pages":"381-388"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206550","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
An Analytical Approach for Recognizing the Occupational Gender Bias in the Data Systems 识别数据系统中职业性别偏见的分析方法
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_59
Pranav Rai, P. N. Kumar
{"title":"An Analytical Approach for Recognizing the Occupational Gender Bias in the Data Systems","authors":"Pranav Rai, P. N. Kumar","doi":"10.1007/978-3-030-51859-2_59","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_59","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"42 11","pages":"653-661"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206497","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
Prediction of Intraday Trend Reversal in Stock Market Index Through Machine Learning Algorithms 通过机器学习算法预测股市指数的日内趋势反转
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_30
K. S. Uma, S. Naidu
{"title":"Prediction of Intraday Trend Reversal in Stock Market Index Through Machine Learning Algorithms","authors":"K. S. Uma, S. Naidu","doi":"10.1007/978-3-030-51859-2_30","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_30","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"27 12","pages":"331-341"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206418","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
Damping Percentage Detection Using Unconventional Methods 使用非常规方法检测阻尼百分比
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_42
Tushar Bansal, Sanjhi Singhal, Suprita Deswal, S. T. Nagarajan
{"title":"Damping Percentage Detection Using Unconventional Methods","authors":"Tushar Bansal, Sanjhi Singhal, Suprita Deswal, S. T. Nagarajan","doi":"10.1007/978-3-030-51859-2_42","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_42","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"28 13","pages":"461-471"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141206407","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
Face Detection Based on Image Stitching for Class Attendance Checking 基于图像拼接的人脸检测在考勤中的应用
International Conference on Information Photonics Pub Date : 2020-05-06 DOI: 10.1007/978-3-030-51859-2_4
Qiubo Huang, Chun Ji
{"title":"Face Detection Based on Image Stitching for Class Attendance Checking","authors":"Qiubo Huang, Chun Ji","doi":"10.1007/978-3-030-51859-2_4","DOIUrl":"https://doi.org/10.1007/978-3-030-51859-2_4","url":null,"abstract":"","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134622744","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
Semantic Preserving Hash Coding Through VAE-GAN 基于VAE-GAN的语义保持哈希编码
International Conference on Information Photonics Pub Date : 2018-10-01 DOI: 10.1109/ICIP.2018.8451744
Guoqing Jin, Dongming Zhang, Feng Dai, Junbo Guo, Yike Ma, Yongdong Zhang
{"title":"Semantic Preserving Hash Coding Through VAE-GAN","authors":"Guoqing Jin, Dongming Zhang, Feng Dai, Junbo Guo, Yike Ma, Yongdong Zhang","doi":"10.1109/ICIP.2018.8451744","DOIUrl":"https://doi.org/10.1109/ICIP.2018.8451744","url":null,"abstract":"This paper proposes a novel framework for fast image retrieval. The proposed framework combines variational autoencoder with generative adversarial network to generate content preserving images for learning-based hashing. By accepting real image and systhesized image in a pairwise form, a semantic perserving binary mapping model is learned using pairwise ranking loss under an adversarial generative process. Extensive experiments on several benchmark datasets demonstrate that the proposed method shows substantial improvement over the state-of-the-art hashing methods.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122513192","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
Fast Depth Map Intra Coding Based Structure Tensor Data Analysis 基于深度图内部编码的结构张量数据快速分析
International Conference on Information Photonics Pub Date : 2018-10-01 DOI: 10.1109/ICIP.2018.8451781
Hamza Hamout, A. Elyousfi
{"title":"Fast Depth Map Intra Coding Based Structure Tensor Data Analysis","authors":"Hamza Hamout, A. Elyousfi","doi":"10.1109/ICIP.2018.8451781","DOIUrl":"https://doi.org/10.1109/ICIP.2018.8451781","url":null,"abstract":"As a recent 3D video coding standard, ISO/IEC MPEG and ITU-T Video Coding Experts Group (VCEG) establish 3D-HEVC as the most efficient 3D video coding based on Multiview texture Videos plus Depth maps data format. In 3D-HEVC, depth map intra prediction is a key factor in 3D video coding, in which, the encoder utilizes the conventional intra prediction and depth modeling modes together to improve the depth map coding. This improvement of depth map intra prediction increase the coding efficiency significantly, but result in a dramatic computational complexity load, due to the exhaustive searching for the best intra mode. The increase of the intra coding complexity excludes the 3D-HEVC from real time and real world application. To resolve the aforementioned problem, it's imperative to develop solutions that can reduce the complexity meaningfully. In this work, we propose an efficient depth map intra prediction model decision based on tensor features. The simulation experiments prove that the developed model decreases the computational complexity (38.52%) with no performance losses.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488646","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
Cyclopean Image Based Stereoscopic Image Quality Assessment by Using Sparse Representation 基于稀疏表示的cyclopeimage立体图像质量评价
International Conference on Information Photonics Pub Date : 2018-10-01 DOI: 10.1109/ICIP.2018.8451047
Yongli Chang, Sumei Li, Xuyang Han, Chunping Hou
{"title":"Cyclopean Image Based Stereoscopic Image Quality Assessment by Using Sparse Representation","authors":"Yongli Chang, Sumei Li, Xuyang Han, Chunping Hou","doi":"10.1109/ICIP.2018.8451047","DOIUrl":"https://doi.org/10.1109/ICIP.2018.8451047","url":null,"abstract":"3D image quality assessment confronts more difficulties than 2D image quality assessment. In this paper a 3D image quality assessment metric based on sparse representation was proposed. The contributions of the proposed method mainly include the following points: a color cyclopean image is used to better simulate the process of image processing in human brain, which is also very suitable for evaluating the quality of asymmetric distortion image. Meanwhile, for during sparse reconstruction some important information will be lost, we use the corresponding color cyclopean image to do compensation before feature extracting. And the paper creatively extracts spatial and spectral entropy feature of the distortion color cyclopean image and the corresponding reconstruction cyclopean image, respectively. Finally, we uses SVR to evaluate the quality of stereoscopic image. Experimental results show that the proposed method is very much in line with human visual perception.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125716024","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
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