An International ICT R&D Journal Sponsored by ZTE Corporation ISSN 1673-5188 CN 34-1294/ TN ZTE COMMUNICATIONS ZTE COMMUNICATIONS 中兴通讯技术（英文版） 中兴通讯技术 http://tech.zte.com.cn March 2019, Vol. 17 No. 1 （ 英文版 ） SPECIAL TOPIC: Quality of Experience for Emerging Video Communications VOLUME 17 NUMBER 1 MARCH 2019 • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • •• • ••• •• • •• • •• • •• • •• • •• • •• • •• • •• The 8th Editorial Board of ZTE Communications Chairman GAO Wen: Peking University (China) Vice Chairmen XU Ziyang: ZTE Corporation (China) XU Chengzhong: Univsersity of Macau (China) Members (in Alphabetical Order): CAO Jiannong Hong Kong Polytechnic University (China) CHEN Changwen University at Buffalo, The State University of New York (USA) CHEN Yan Northwestern University (USA) CHI Nan Fudan University (China) CUI Shuguang University of California, Davis (USA); The Chinese University of Hong Kong, Shenzhen (China) GAO Wen Peking University (China) HWANG Jenq⁃Neng University of Washington (USA) Victor C. M. Leung The University of British Columbia (Canada) LI Guifang University of Central Florida (USA) LIN Xiaodong ZTE Corporation (China) LIU Jian ZTE Corporation (China) LIU Ming Institute of Microelectronics of the Chinese Academy of Sciences (China) MA Jianhua Hosei University (Japan) PAN Yi Georgia State University (USA) REN Fuji Tokushima University (Japan) SONG Wenzhan University of Georgia (USA) SUN Huifang Mitsubishi Electric Research Laboratories (USA) SUN Zhili University of Surrey (UK) TAO Meixia Shanghai Jiao Tong University (China) WANG Xiang ZTE Corporation (China) WANG Xiaodong Columbia University (USA) WANG Xiyu ZTE Corporation (China) WANG Zhengdao Iowa State University (USA) XU Chengzhong Univsersity of Macau (China) XU Ziyang ZTE Corporation (China) YANG Kun University of Essex (UK) YUAN Jinhong University of New South Wales (Australia) ZENG Wenjun Microsoft Research Asia (China) ZHANG Chengqi University of Technology Sydney (Australia) ZHANG Honggang Zhejiang University (China) ZHANG Yueping Nanyang Technological University (Singapore) ZHOU Wanlei Deakin University (Australia) ZHUANG Weihua University of Waterloo (Canada) CONTENTS ZTE COMMUNICATIONS March 2019 Vol. 17 No. 1 (Issue 65) Special Topic Quality of Experience for Emerging Video Communications Editorial 01 18 Automating QoS and QoE Evaluation of CHEN Changwen, ZHAO Tiesong, and CHEN Zhibo HTTP Adaptive Streaming Systems For the HTTP streaming systems, the adaptation of video bitrate and Recent Advances and Challenges in Video 03 possibly even the video resolution makes the assessment of the Quality Assessment overall quality much more challenging. This paper presents a flexible and comprehensive framework to conduct objective and Video quality assessment plays a vital role in the field of video subjective evaluations of HAS systems in a fully automated and processing and has gained much attention in recent years. This scalable way. Main features of the proposed approach include paper gives an up⁃to⁃date review of VQA research and highlights end⁃to⁃end evaluation of video streaming players deployed in the challenges to conduct VQA research. Both subjective study industry, collection and analysis of objective streaming performance and common VQA databases, as well as various objective VQA metrics, and subjective quality assessment utilizing crowdsourcing methods are reviewed. The authors pointed out several challenges for QoE evaluation. in VQA, including the impact of video content, the memory effects, the computational efficiency, and the personalized video quality Christian Timmerer and Anatoliy Zabrovskiy prediction. LI Dingquan, JIANG Tingting, and JIANG Ming 25 Quality of Experience Effects in Video Delivery Quality Assessment and Measurement for 12 This paper discusses the quality⁃of⁃experience effects in video Internet Video Streaming delivery eco⁃system from the source, via complex networks, to the destination. The authors investigate the significant differences In this paper, the authors point out that conventional video quality between QoS and QoE, summarize the end⁃to⁃end QoE effects in assessment methods have been designed for broadcasting mode of video delivery, and present their classification based on the operations. Emerging Internet⁃based video services are deployment. The authors also specifically analyze the impacts of fundamentally different from broadcasting mode and different different kinds of factors on QoE in video transmission systems. assessment strategies must be adopted. Both subjective and objective metrics should be implemented and the measurement CHEN Jinling, XU Yiwen, LIU Yisang, HUANG Huiwen, and may be carried out at client side, server side and in⁃network to ZHUANG Zhongwen ensure an overall picture of the video service quality. ZHANG Xinggong, XIE Lan, and GUO Zongming Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or lecture note or report or in the form of an abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors as well as by the authorities at the institute where the work has been carried out; that, if and when the manuscript is accepted for publication, the authors hand over the transferable copyrights of the accepted manuscript to ZTE Communications; and that the manuscript or parts thereof will not be published elsewhere in any language without the consent of the copyright holder. Copyrights include, without spatial or timely limitation, the mechanical, electronic and visual reproduction and distribution; electronic storage and retrieval; and all other forms of electronic publication or any other types of publication including all subsidiary rights. Responsibility for content rests on authors of signed articles and not on the editorial board of ZTE Communications or its sponsors. All rights reserved. CONTENTS ZTE COMMUNICATIONS March 2019 Vol. 17 No. 1 (Issue 65) Visual Attention Modeling in Compressed 31 48 Quality⁃of⁃Experience in Human⁃in⁃the⁃Loop Domain: From Image Saliency Detection to Haptic Communications Video Saliency Detection With the worldwide rapid development of 5G networks, haptic This paper explores visual attention modeling in the compressed communications, a key use case of the 5G, has attracted increasing domain for both image and video saliency detection. Saliency attentions nowadays. Its human⁃in⁃the⁃loop nature makes QoE the regions in compressed image or video play a significant role in the leading performance indicator of the system design. A vast number perception of compressed image and video and therefore are of high quality works were published on user⁃level, application⁃level closely related to the quality of experience when viewing the and network⁃level QoE⁃oriented designs in haptic communications. received image and video. In particular, this paper introduces In this paper, the authors present an overview of the recent research fusion strategies to combine spatial and temporal saliency maps to activities in this progressive research area. obtain the consistent result for video saliency map. LIU Qian and ZHAO Tiesong FANG Yuming and ZHANG Xiaoqiang Review Perceptual Quality Assessment of 38 Omnidirectional Images: Subjective 56 Comparison Analysis on Feasible Solutions Experiment and Objective Model Evaluation for LTE Based Next⁃Generation Railway Under the VR environment, providing a good quality of experience Mobile Communication System is extremely important. In this paper, the authors address the quality assessment of one emerging type of media, omnidirectional In this paper, the authors introduce the development of railway images and videos. They first build an omnidirectional image mobile communications and LTE technology. They also discuss the quality assessment database, and then conduct a subjective quality user requirements of future railway mobile communication system. evaluation study in the VR environment based on this database. The two feasible broadband trunking communication solutions for Some insightful observations have been obtained through this LTE based Next⁃Generation Railway Mobile Communication System interesting study. are then analyzed from different aspects. DUAN Huiyu, ZHAI Guangtao, MIN Xiongkuo, ZHU Yucheng, SUN Bin, DING Jianwen, LIN Siyu, WANG Wei, CHEN Qiang, FANG Yi, and YANG Xiaokang and ZHONG Zhangdui Serial parameters：CN 34-1294/TN∗2003∗Q∗16∗64∗en∗P∗￥20.00∗5000∗09∗2019-03 This magazine is a free publication for you. If you do not want to receive it in the future, you can send the “TD unsubscribe”mail to [email protected]. We will not send you this magazine again after receiving Statement your email. Thank you for your support. Editorial: Quality of Experience for Emerging Video Communications Special Topic CHEN Changwen, ZHAO Tiesong, and CHEN Zhibo Editorial on Special Topic: Quality of Experience for Emerging Video Communications CHEN