Int. J. Digit. Multim. Broadcast.最新文献_第5页

A Prediction Method of Mobile User Preference Based on the Influence between Users 基于用户间影响的移动用户偏好预测方法

Int. J. Digit. Multim. Broadcast. Pub Date : 2018-07-19 DOI: 10.1155/2018/8081409

Yancui Shi, Jianhua Cao, Congcong Xiong, Xiankun Zhang

{"title":"A Prediction Method of Mobile User Preference Based on the Influence between Users","authors":"Yancui Shi, Jianhua Cao, Congcong Xiong, Xiankun Zhang","doi":"10.1155/2018/8081409","DOIUrl":"https://doi.org/10.1155/2018/8081409","url":null,"abstract":"User preference will be impacted by other users. To accurately predict mobile user preference, the influence between users is introduced into the prediction model of user preference. First, the mobile social network is constructed according to the interaction behavior of the mobile user, and the influence of the user is calculated according to the topology of the constructed mobile social network and mobile user behavior. Second, the influence between users is calculated according to the user’s influence, the interaction behavior between users, and the similarity of user preferences. When calculating the influence based on the interaction behavior, the context information is considered; the context information and the order of user preferences are considered when calculating the influence based on the similarity of user preferences. The improved collaborative filtering method is then employed to predict mobile user preferences based on the obtained influence between users. Finally, the experiment is executed on the real data set and the integrated data set, and the results show that the proposed method can obtain more accurate mobile user preferences than those of existing methods.","PeriodicalId":204253,"journal":{"name":"Int. J. Digit. Multim. Broadcast.","volume":"3 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122731882","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

A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective 视频服务体验质量评估的标准化方法综述:国际电联视角

Int. J. Digit. Multim. Broadcast. Pub Date : 2018-05-27 DOI: 10.1155/2018/1391724

Debajyoti Pal, Tuul Triyason

{"title":"A Survey of Standardized Approaches towards the Quality of Experience Evaluation for Video Services: An ITU Perspective","authors":"Debajyoti Pal, Tuul Triyason","doi":"10.1155/2018/1391724","DOIUrl":"https://doi.org/10.1155/2018/1391724","url":null,"abstract":"Over the past few years there has been an exponential increase in the amount of multimedia data being streamed over the Internet. At the same time, we are also witnessing a change in the way quality of any particular service is interpreted, with more emphasis being given to the end-users. Thus, silently there has been a paradigm shift from the traditional Quality of Service approach (QoS) towards a Quality of Experience (QoE) model while evaluating the service quality. A lot of work that tries to evaluate the quality of audio, video, and multimedia services over the Internet has been done. At the same time, research is also going on trying to map the two different domains of quality metrics, i.e., the QoS and QoE domain. Apart from the work done by individual researchers, the International Telecommunications Union (ITU) has been quite active in this area of quality assessment. This is obvious from the large number of ITU standards that are available for different application types. The sheer variety of techniques being employed by ITU as well as other researchers sometimes tends to be too complex and diversified. Although there are survey papers that try to present the current state of the art methodologies for video quality evaluation, none has focused on the ITU perspective. In this work, we try to fill up this void by presenting up-to-date information on the different measurement methods that are currently being employed by ITU for a video streaming scenario. We highlight the outline of each method with sufficient detail and try to analyze the challenges being faced along with the direction of future research.","PeriodicalId":204253,"journal":{"name":"Int. J. Digit. Multim. Broadcast.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129834597","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: 16

Channel Estimation for OFDM-Based Amplify-and-Forward Cooperative System Using Relay-Superimposed Pilots 基于ofdm的中继叠加导频放大转发合作系统的信道估计

Int. J. Digit. Multim. Broadcast. Pub Date : 2018-03-01 DOI: 10.1155/2018/9618147

Xianwen He, Gaoqi Dou, Jun Gao

引用次数: 1

Real-Time QoE Monitoring System for Video Streaming Services with Adaptive Media Playout 基于自适应媒体播放的视频流服务实时QoE监控系统

Int. J. Digit. Multim. Broadcast. Pub Date : 2018-02-15 DOI: 10.1155/2018/2619438

Mingfu Li, C. Yeh, Shao-Yu Lu

引用次数: 18

Emergent Techniques and Applications for Big Visual Data 大视觉数据的新兴技术与应用

Int. J. Digit. Multim. Broadcast. Pub Date : 2017-10-31 DOI: 10.1155/2017/6468502

Zhijun Fang, Jenq-Neng Hwang, X. Huo, H. J. Lee, Joachim Denzler

引用次数: 1

Visual Three-Dimensional Reconstruction of Aortic Dissection Based on Medical CT Images 基于医学CT图像的主动脉夹层视觉三维重建

Int. J. Digit. Multim. Broadcast. Pub Date : 2017-07-19 DOI: 10.1155/2017/3163759

Xiaojie Duan, Dandan Chen, Jianming Wang, Meichen Shi, Qingliang Chen, He Zhao, Ruixue Zuo, Xiuyan Li, Qi Wang

{"title":"Visual Three-Dimensional Reconstruction of Aortic Dissection Based on Medical CT Images","authors":"Xiaojie Duan, Dandan Chen, Jianming Wang, Meichen Shi, Qingliang Chen, He Zhao, Ruixue Zuo, Xiuyan Li, Qi Wang","doi":"10.1155/2017/3163759","DOIUrl":"https://doi.org/10.1155/2017/3163759","url":null,"abstract":"With the rapid development of CT technology, especially the higher resolution of CT machine and a sharp increase in the amount of slices, to extract and three-dimensionally display aortic dissection from the huge medical image data became a challenging task. In this paper, active shape model combined with spatial continuity was adopted to realize automatic reconstruction of aortic dissection. First, we marked aortic feature points from big data sample library and registered training samples to build a statistical model. Meanwhile, gray vectors were sampled by utilizing square matrix, which set the landmarks as the center. Posture parameters of the initial shape were automatically adjusted by the method of spatial continuity between CT sequences. The contrast experiment proved that the proposed algorithm could realize accurate aorta segmentation without selecting the interested region, and it had higher accuracy than GVF snake algorithm (93.29% versus 87.54% on aortic arch, 94.30% versus 89.25% on descending aorta). Aortic dissection membrane was extracted via Hessian matrix and Bayesian theory. Finally, the three-dimensional visualization of the aortic dissection was completed by volume rendering based on the ray casting method to assist the doctors in clinical diagnosis, which contributed to improving the success rate of the operations.","PeriodicalId":204253,"journal":{"name":"Int. J. Digit. Multim. Broadcast.","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121326449","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

A Novel Preferential Diffusion Recommendation Algorithm Based on User's Nearest Neighbors 一种基于用户近邻的优先扩散推荐算法

Int. J. Digit. Multim. Broadcast. Pub Date : 2017-05-04 DOI: 10.1155/2017/1386461

Fuguo Zhang, Yehuan Liu, Qinqiao Xiong

引用次数: 1

Rate-Distortion and Rate-Energy-Distortion Evaluations of Compressive-Sensing Video Coding 压缩感知视频编码的率失真和率能量失真评估

Int. J. Digit. Multim. Broadcast. Pub Date : 2017-03-16 DOI: 10.1155/2017/4589124

Bingyu Ji, Ran Li, Chang-an Wu

引用次数: 0

A Novel Steganography Technique for SDTV-H.264/AVC Encoded Video 一种新的SDTV-H隐写技术。264/AVC编码视频

Int. J. Digit. Multim. Broadcast. Pub Date : 2016-05-09 DOI: 10.1155/2016/6950592

Christian Di Laura, Diego Pajuelo, Guillermo Kemper

{"title":"A Novel Steganography Technique for SDTV-H.264/AVC Encoded Video","authors":"Christian Di Laura, Diego Pajuelo, Guillermo Kemper","doi":"10.1155/2016/6950592","DOIUrl":"https://doi.org/10.1155/2016/6950592","url":null,"abstract":"Today, eavesdropping is becoming a common issue in the rapidly growing digital network and has foreseen the need for secret communication channels embedded in digital media. In this paper, a novel steganography technique designed for Standard Definition Digital Television (SDTV) H.264/AVC encoded video sequences is presented. The algorithm introduced here makes use of the compression properties of the Context Adaptive Variable Length Coding (CAVLC) entropy encoder to achieve a low complexity and real-time inserting method. The chosen scheme hides the private message directly in the H.264/AVC bit stream by modifying the AC frequency quantized residual luminance coefficients of intrapredicted I-frames. In order to avoid error propagation in adjacent blocks, an interlaced embedding strategy is applied. Likewise, the steganography technique proposed allows self-detection of the hidden message at the target destination. The code source was implemented by mixing MATLAB 2010 b and Java development environments. Finally, experimental results have been assessed through objective and subjective quality measures and reveal that less visible artifacts are produced with the technique proposed by reaching PSNR values above 40.0 dB and an embedding bit rate average per secret communication channel of 425 bits/sec. This exemplifies that steganography is affordable in digital television.","PeriodicalId":204253,"journal":{"name":"Int. J. Digit. Multim. Broadcast.","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133600864","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

Enhancing the Security of Customer Data in Cloud Environments Using a Novel Digital Fingerprinting Technique 利用一种新的数字指纹技术增强云环境中客户数据的安全性

Int. J. Digit. Multim. Broadcast. Pub Date : 2016-05-01 DOI: 10.1155/2016/8789397

N. Chidambaram, P. Raj, K. Thenmozhi, Rengarajan Amirtharajan

{"title":"Enhancing the Security of Customer Data in Cloud Environments Using a Novel Digital Fingerprinting Technique","authors":"N. Chidambaram, P. Raj, K. Thenmozhi, Rengarajan Amirtharajan","doi":"10.1155/2016/8789397","DOIUrl":"https://doi.org/10.1155/2016/8789397","url":null,"abstract":"With the rapid rise of the Internet and electronics in people’s life, the data related to it has also undergone a mammoth increase in magnitude. The data which is stored in the cloud can be sensitive and at times needs a proper file storage system with a tough security algorithm. Whereas cloud is an open shareable elastic environment, it needs impenetrable and airtight security. This paper deals with furnishing a secure storage system for the above-mentioned purpose in the cloud. To become eligible to store data a user has to register with the cloud database. This prevents unauthorized access. The files stored in the cloud are encrypted with RSA algorithm and digital fingerprint for the same has been generated through MD5 message digest before storage. The RSA provides unreadability of data to anyone without the private key. MD5 makes it impossible for any changes on data to go unnoticed. After the application of RSA and MD5 before storage, the data becomes resistant to access or modifications by any third party and to intruders of cloud storage system. This application is tested in Amazon Elastic Compute Cloud Web Services.","PeriodicalId":204253,"journal":{"name":"Int. J. Digit. Multim. Broadcast.","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127541649","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: 19