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360° Video Viewing Dataset in Head-Mounted Virtual Reality

Published: 20 June 2017 Publication History

Abstract

360° videos and Head-Mounted Displays (HMDs) are getting increasingly popular. However, streaming 360° videos to HMDs is challenging. This is because only video content in viewers' Field-of-Views (FoVs) is rendered, and thus sending complete 360° videos wastes resources, including network bandwidth, storage space, and processing power. Optimizing the 360° video streaming to HMDs is, however, highly data and viewer dependent, and thus dictates real datasets. However, to our best knowledge, such datasets are not available in the literature. In this paper, we present our datasets of both content data (such as image saliency maps and motion maps derived from 360° videos) and sensor data (such as viewer head positions and orientations derived from HMD sensors). We put extra efforts to align the content and sensor data using the timestamps in the raw log files. The resulting datasets can be used by researchers, engineers, and hobbyists to either optimize existing 360° video streaming applications (like rate-distortion optimization) and novel applications (like crowd-driven camera movements). We believe that our dataset will stimulate more research activities along this exciting new research direction.

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  • (2024)Compass: A Prefetching Framework with Viewport Patching for 360° Video StreamingProceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems10.1145/3672196.3673396(45-51)Online publication date: 4-Aug-2024
  • (2024)OMMSProceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3653435(429-434)Online publication date: 15-Apr-2024
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cover image ACM Conferences
MMSys'17: Proceedings of the 8th ACM on Multimedia Systems Conference
June 2017
407 pages
ISBN:9781450350020
DOI:10.1145/3083187
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 20 June 2017

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Author Tags

  1. 360° dataset
  2. 360° video
  3. HMD
  4. head tracking dataset
  5. virtual reality

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MMSys'17
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MMSys'17: Multimedia Systems Conference 2017
June 20 - 23, 2017
Taipei, Taiwan

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MMSys'17 Paper Acceptance Rate 13 of 47 submissions, 28%;
Overall Acceptance Rate 176 of 530 submissions, 33%

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Cited By

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  • (2024)A Review of Immersive Technologies, Knowledge Representation, and AI for Human-Centered Digital ExperiencesElectronics10.3390/electronics1302026913:2(269)Online publication date: 7-Jan-2024
  • (2024)Compass: A Prefetching Framework with Viewport Patching for 360° Video StreamingProceedings of the 2024 SIGCOMM Workshop on Emerging Multimedia Systems10.1145/3672196.3673396(45-51)Online publication date: 4-Aug-2024
  • (2024)OMMSProceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3653435(429-434)Online publication date: 15-Apr-2024
  • (2024)QuestsetProceedings of the 15th ACM Multimedia Systems Conference10.1145/3625468.3652187(408-414)Online publication date: 15-Apr-2024
  • (2024)Cross-Layer Scheduling in QUIC and Multipath QUIC for 360-Degree Video Streaming2024 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC57260.2024.10571146(1-6)Online publication date: 21-Apr-2024
  • (2024)CoLive: Edge-Assisted Clustered Learning Framework for Viewport Prediction in 360$^{\circ }$ Live StreamingIEEE Transactions on Multimedia10.1109/TMM.2023.333011226(5078-5091)Online publication date: 1-Jan-2024
  • (2024)DACOD360: Deadline-Aware Content Delivery for 360-Degree Video Streaming Over MEC NetworksIEEE Transactions on Multimedia10.1109/TMM.2023.332143926(4168-4182)Online publication date: 1-Jan-2024
  • (2024)Privacy-Preserving Gaze-Assisted Immersive Video StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2024.345251023:12(15098-15113)Online publication date: Dec-2024
  • (2024)A Two-Stage Deep Reinforcement Learning Framework for MEC-Enabled Adaptive 360-Degree Video StreamingIEEE Transactions on Mobile Computing10.1109/TMC.2024.344320023:12(14313-14329)Online publication date: Dec-2024
  • (2024)Quantifying and Exploiting VR Frame Correlations: An Application of a Statistical Model for Viewport PoseIEEE Transactions on Mobile Computing10.1109/TMC.2024.339977023:12(11466-11482)Online publication date: Dec-2024
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