2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)最新文献_第2页

Comparing Visual, Textual, and Multimodal Features for Detecting Sign Language in Video Sharing Sites 比较视频分享网站中手语检测的视觉、文本和多模态特征

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00010

C. D. D. Monteiro, F. Shipman, R. Gutierrez-Osuna

{"title":"Comparing Visual, Textual, and Multimodal Features for Detecting Sign Language in Video Sharing Sites","authors":"C. D. D. Monteiro, F. Shipman, R. Gutierrez-Osuna","doi":"10.1109/MIPR.2018.00010","DOIUrl":"https://doi.org/10.1109/MIPR.2018.00010","url":null,"abstract":"Easy recording and sharing of video content has led to the creation and distribution of increasing quantities of sign language (SL) content. Current capabilities make locating SL videos on a desired topic dependent on the existence and correctness of metadata indicating both the language and topic of the video. Automated techniques to detect sign language content can aid this problem. This paper compares metadata-based classifiers and multimodal classifiers, using both early and late fusion techniques, with video content-based classifiers in the literature. Comparisons of applying TF-IDF, LDA, and NMF in the generation of metadata features indicates that NMF performs best, either when used independently or when combined with video features. Multimodal classifiers perform better than unimodal SL video classifiers. Experiments show multimodal features obtained results of up to 86% precision, 81% recall, and 84% F1 score. This represents an improvement on F1 score of roughly 9% in comparison with the video-based approach presented in the literature and an improvement of 6% over text-based features extracted using NMF.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125736102","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: 6

Ownership Identification and Signaling of Multimedia Content Components 多媒体内容组件的所有权识别和信令

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00049

Luntian Mou

引用次数: 0

Dynamic Sampling in Convolutional Neural Networks for Imbalanced Data Classification 卷积神经网络在不平衡数据分类中的动态采样

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00027

Samira Pouyanfar, Yudong Tao, A. Mohan, Haiman Tian, Ahmed S. Kaseb, Kent W. Gauen, Ryan Dailey, Sara Aghajanzadeh, Yung-Hsiang Lu, Shu‐Ching Chen, M. Shyu

引用次数: 112

An Investigation into the Effect of Implementing an Integrated It System in a Multi-location Healthcare 多地点医疗机构实施集成It系统的效果调查

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00053

D. ElSaied, Sheila D. Fournier-Bonilla

{"title":"An Investigation into the Effect of Implementing an Integrated It System in a Multi-location Healthcare","authors":"D. ElSaied, Sheila D. Fournier-Bonilla","doi":"10.1109/MIPR.2018.00053","DOIUrl":"https://doi.org/10.1109/MIPR.2018.00053","url":null,"abstract":"Based on the debate concerning the success or failure of the implementation of integrated healthcare information systems and the real benefits gained by the healthcare providers across various aspects of the business, this paper is a focused case study assessing the benefits of the use of a fully integrated health information system by a multi-location private healthcare provider in Saudi Arabia, and describes the top management’s perception these benefits by following a qualitative research methodology. Data were collected by interviewing the key users at the corporate level and by simulating some test scenarios during the interviews, using the business process categorizing modelling methodology dividing revenue cycle and the payment cycle going across the related business processes using the different business activities to assess the major business tasks via a detailed comparison between the manual processes and the automated processes. The findings that are summarized in the Results section showed that top management’s perception of the benefits was accepted by 81% of the management, with high scores in the decision-making and process-improvement dimensions.","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133459818","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

Predictive Real-Time Beat Tracking from Music for Embedded Application 预测实时节拍跟踪从音乐嵌入式应用程序

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00068

Irfan Al-Hussaini, Ahmed Imtiaz Humayun, Samiul Alam, Shariful Islam Foysal, A. A. Masud, Arafat Mahmud, R. Chowdhury, N. Ibtehaz, S. U. Zaman, Rakib Hyder, Sayeed Shafayet Chowdhury, M. A. Haque

引用次数: 8

Media-Rich Fake News Detection: A Survey 富媒体假新闻检测:调查

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00093

Shivam B. Parikh, P. Atrey

引用次数: 158

PharmKi: A Retrieval System of Chemical Structural Formula Based on Graph Similarity 基于图相似度的化学结构式检索系统

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00016

J. Qu, Xiaoqing Lyu, Chengcui Zhang, Penghui Sun, Bei Wang, Zhi Tang

引用次数: 3

Deep Structured Prediction: A New Formulation for Person Re-Identification 深层结构预测:一种新的人物再识别公式

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00014

Xinpeng L. Liao, Chengcui Zhang, Ming Dong, Xin Chen

引用次数: 1

What Is Going on in the World? A Display Platform for Media Understanding 世界上到底发生了什么?媒体理解的展示平台

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00045

Delia Fernandez, Joan Espadaler, David Varas, Issey Masuda, Aleix Colom, David Rodriguez, David Vegas, M. Montalvo, Xavier Giró-i-Nieto, J. C. Riveiro, Elisenda Bou

引用次数: 1

Game-Aware and SDN-Assisted Bandwidth Allocation for Data Center Networks 数据中心网络的游戏感知和sdn辅助带宽分配

2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) Pub Date : 2018-04-10 DOI: 10.1109/MIPR.2018.00023

M. Amiri, Hussein Al Osman, S. Shirmohammadi

{"title":"Game-Aware and SDN-Assisted Bandwidth Allocation for Data Center Networks","authors":"M. Amiri, Hussein Al Osman, S. Shirmohammadi","doi":"10.1109/MIPR.2018.00023","DOIUrl":"https://doi.org/10.1109/MIPR.2018.00023","url":null,"abstract":"Cloud computing has recently emerged as a promising paradigm for end-users and service providers. The application of the cloud-computing model to different applications offers many attractive advantages, such as scalability, ubiquity, reliability, and cost reduction to users and providers. By applying this model, the major computational parts of underlying applications are performed in data centers. Hence, effectively assigning the resources (e.g. memory, bandwidth) to applications plays a key role in providing a high Quality of Experience (QoE) to end-users. In the case of delay sensitive applications like video streaming and online gaming, the efficient resource allocation becomes more crucial. In this paper, we propose a game traffic friendly bandwidth utilization scheme using the Software Defined Networking (SDN) paradigm to solve the bandwidth allocation problem in cloud computing data center networks. Our proposed method makes use of machine learning techniques to classify the incoming traffic flows in real-time while ensuring game flows are prioritized over others. Our simulation results for a realistic network topology indicate good performance in terms of network traffic classification accuracy, and improvements of at least 9% in average utility (QoE), up to 30% increase in fairness (according to the Jain’s fairness index), and on average an 8% reduction in delay experienced by users compared to a representative conventional method: Equal Cost Multi-path (ECMP).","PeriodicalId":320000,"journal":{"name":"2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125320183","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: 11