Zobrazeno 1 - 10
of 25
pro vyhledávání: '"CHING-LING FAN"'
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 17:1-26
Real-time screen-sharing provides users with ubiquitous access to remote applications, such as computer games, movie players, and desktop applications (apps), anywhere and anytime. In this article, we study the performance of different screen-sharing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ded8e006005d4975ab6af168afa396e5
https://doi.org/10.1145/3437881
https://doi.org/10.1145/3437881
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:1632-1647
Dynamic Adaptive Streaming over HTTP (DASH) has been widely used by several popular streaming services, such as YouTube, Netflix, and Facebook. Adopting DASH requires to pre-determine a set of encoding configurations, called encoding ladder, to gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fa95addde04b411ef88121050d4ea98
https://doi.org/10.1109/tcsvt.2020.3007288
https://doi.org/10.1109/tcsvt.2020.3007288
Autor:
CHING-LING FAN1 ch.ling.fan@gmail.com, WEN-CHIH LO1 wchih.lo@gmail.com, YU-TUNG PAI1 cealia312@gmail.com, CHENG-HSIN HSU1 chsu@cs.nthu.edu.tw
Publikováno v:
ACM Computing Surveys. Jul2020, Vol. 52 Issue 4, p1-36. 36p.
Publikováno v:
IEEE Transactions on Multimedia. 22:744-759
We study the problem of predicting the viewing probability of different parts of $3\text{60}^{\circ }$ videos when streaming them to head-mounted displays. We propose a fixation prediction network based on recurrent neural network, which leverages se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a860ebc0a5ae7c2a735bb0f73e28379
https://doi.org/10.1109/tmm.2019.2931807
https://doi.org/10.1109/tmm.2019.2931807
Publikováno v:
ACM Computing Surveys. 52:1-36
Head-mounted displays and 360° videos have become increasingly more popular, delivering a more immersive viewing experience to end users. Streaming 360° videos over the best-effort Internet, however, faces tremendous challenges, because of the high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29e8990e3ceebffeaad902b3df5a7596
https://doi.org/10.1145/3329119
https://doi.org/10.1145/3329119
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jan2022, Vol. 18 Issue 1, p1-23, 23p
Publikováno v:
Proceedings of the 24th ACM Workshop on Packet Video.
We design, implement, and evaluate a tiled DASH streaming system for 360° videos using QUIC/UDP protocol, in which multiplexed and prioritized streams are leveraged for sending urgent tiles that are about to miss their playout time. In particular, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6696f4e98191b868f5432dbb8c847d78
https://doi.org/10.1145/3304114.3325616
https://doi.org/10.1145/3304114.3325616
Publikováno v:
QoMEX
Although watching 360° videos with Head-Mounted Displays (HMDs) is getting increasingly more popular, our understanding of its Quality-of-Experience (QoE) is rather limited. This paper develops models to predict the QoE levels of watching 360° vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f976b9ae1b85684d1e26ca7d5d761125
https://doi.org/10.1109/qomex.2019.8743198
https://doi.org/10.1109/qomex.2019.8743198
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 12:1-23
The binding between computing devices and displays is becoming dynamic and adaptive, and screencast technologies enable such binding over wireless networks. In this article, we design and conduct the first detailed measurement study on the performanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b9d5c5b81b288639a88e7bda456b6c3
https://doi.org/10.1145/2886778
https://doi.org/10.1145/2886778
Publikováno v:
IEEE Internet of Things Journal. 3:299-313
Wearable and mobile devices are widely used for crowdsensing, as they come with many sensors and are carried everywhere. Among the sensing data, videos annotated with temporal–spatial metadata contain huge amount of information, but consume too muc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cd57ab7f7cf1be3634e300381f5231c
https://doi.org/10.1109/jiot.2016.2519502
https://doi.org/10.1109/jiot.2016.2519502