Paper Info
Title
360° Video Viewing Dataset in Head-Mounted Virtual Reality.
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.
Year
DOI
Venue
2017
10.1145/3083187.3083219
MMSys
Keywords
Field
DocType
360 degrees dataset, 360 degrees video, virtual reality, HMD, head tracking dataset
Computer vision,Virtual reality,Computer graphics (images),Computer science,Salience (neuroscience),Video streaming,Bandwidth (signal processing),Artificial intelligence,Timestamp
Conference
Citations 
PageRank 
References 
27
1.08
11
Authors
6
Name
Order
Citations
PageRank
Wen-Chih Lo1623.20
Ching-Ling Fan2738.04
Jean Lee3582.10
Chun-Ying Huang420718.22
Kuan-Ta Chen51896136.86
Cheng-Hsin Hsu699181.56