Towards Subjective Quality of Experience Assessment for Omnidirectional Video Streaming

被引:0
|
作者
Schatz, Raimund [1 ]
Sackl, Andreas [1 ]
Timmerer, Christian [2 ]
Gardlo, Bruno [1 ]
机构
[1] Australian Inst Technol, Sydney, NSW, Australia
[2] Alpe Adria Univ Klangenfurt, Bitmovin Inc, Klagenfurt, Austria
关键词
Omnidirectional Video; 360-degree Streaming; Immersive Media; Subjective Testing; Quality of Experience;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Currently, we witness dramatically increasing interest in immersive media technologies like Virtual Reality (VR), particularly in omnidirectional video (OV) streaming. Omnidirectional (also called 360-degree) videos are panoramic spherical videos in which the user can look around during playback and which therefore can be understood as hybrids between traditional movie streaming and interactive VR worlds. Unfortunately, streaming this kind of content is extremely bandwidth intensive (compared to traditional 2D video) and therefore, Quality of Experience (QoE) tends to deteriorate significantly in absence of continuous optimal bandwidth conditions. In this paper, we present a first approach towards subjective QoE assessment for omnidirectional video (OV) streaming. We present the results of a lab study on the QoE impact of stalling in the context of OV streaming using head-mounted displays (HMDs). Our findings show that subjective testing for immersive media like OV is not trivial, with even simple cases like stalling leading to unexpected results. After a discussion of characteristic pitfalls and lessons learned, we provide a a set of recommendations for upcoming OV assessment studies.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] SUBJECTIVE EVALUATION OF USER QUALITY OF EXPERIENCE FOR OMNIDIRECTIONAL VIDEO STREAMING
    Mrvelj, Stefica
    Matulin, Marko
    Martirosov, Sergo
    [J]. PROMET-TRAFFIC & TRANSPORTATION, 2020, 32 (03): : 409 - 421
  • [2] Subjective and Objective Quality Assessment of Omnidirectional Video
    Lopes, Francisco
    Ascenso, Joao
    Rodrigues, Antonio
    Queluz, Maria Paula
    [J]. APPLICATIONS OF DIGITAL IMAGE PROCESSING XLI, 2018, 10752
  • [3] A Quality-of-Experience Database for Adaptive Omnidirectional Video Streaming
    Liu, Xuelin
    Yan, Jiebin
    Wan, Zheng
    Fang, Yuming
    Wang, Zhou
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2023, 17 (05) : 949 - 963
  • [4] Quality of Experience of adaptive video streaming: Investigation in service parameters and subjective quality assessment methodology
    Tavakoli, Samira
    Brunnstrom, Kjell
    Gutierrez, Jesus
    Garcia, Narciso
    [J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2015, 39 : 432 - 443
  • [5] Subjective Quality Assessment of an Adaptive Video Streaming Model
    Tavakoli, Samira
    Brunnstrom, Kjell
    Wang, Kun
    Andren, Borje
    Shahid, Muhammad
    Garcia, Narciso
    [J]. IMAGE QUALITY AND SYSTEM PERFORMANCE XI, 2014, 9016
  • [6] Study on the Assessment of the Quality of Experience of Streaming Video
    Ivchenko, A., V
    Kononyuk, P. A.
    Dvorkovich, A., V
    Antiufrieva, L. A.
    [J]. 2020 SYSTEMS OF SIGNAL SYNCHRONIZATION, GENERATING AND PROCESSING IN TELECOMMUNICATIONS (SYNCHROINFO), 2020,
  • [7] Subjective Video Quality Assessment of HTTP Adaptive Streaming Technologies
    Robinson, David C.
    Jutras, Yves
    Craciun, Viorel
    [J]. BELL LABS TECHNICAL JOURNAL, 2012, 16 (04) : 5 - 23
  • [8] A concise review of the quality of experience assessment for video streaming
    Maia, Orlewilson Bentes
    Yehia, Hani Camille
    de Errico, Luciano
    [J]. COMPUTER COMMUNICATIONS, 2015, 57 : 1 - 12
  • [9] An objective and subjective quality assessment study of passive gaming video streaming
    Barman, Nabajeet
    Zadtootaghaj, Saman
    Schmidt, Steven
    Martini, Maria G.
    Moeller, Sebastian
    [J]. INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, 2020, 30 (03)
  • [10] Quality of Experience Assessment for HTTP Based Adaptive Video Streaming
    Arsenovi, Milica
    Rimac-Drlje, Snjezana
    [J]. ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2023, 23 (01) : 33 - 42