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NOSSDAV '20: Proceedings of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
ACM2020 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MMSys '20: 11th ACM Multimedia Systems Conference Istanbul Turkey June 10 - 11, 2020
ISBN:
978-1-4503-7945-8
Published:
08 June 2020
Sponsors:
In-Cooperation:

Bibliometrics
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Abstract

We are pleased to introduce you to the Technical Program of the 30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'20). This is the 30th anniversary of the workshop, celebrating its success as an international forum for researchers and practitioners to report the latest developments and exchange innovative ideas in multimedia systems with an emphasis on the system aspects.

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research-article
SR360: boosting 360-degree video streaming with super-resolution

360-degree videos have gained increasing popularity due to its capability to provide users with immersive viewing experience. Given the limited network bandwidth, it is a common approach to only stream video tiles in the user's Field-of-View (FoV) with ...

research-article
Self-play reinforcement learning for video transmission

Video transmission services adopt adaptive algorithms to ensure users' demands. Existing techniques are often optimized and evaluated by a function that linearly combines several weighted metrics. Nevertheless, we observe that the given function fails ...

research-article
FALCON: joint fair airtime allocation and rate control for DASH video streaming in software defined wireless networks

Software Defined Wireless Networks offer an opportunity to enhance the performance of specific services by applying centralized mechanisms which make use of a global view of the network resources. This paper presents FALCON, a novel solution that ...

research-article
Evaluation of CMAF in live streaming scenarios

HTTP Adaptive Streaming (HAS) technologies such as MPEG DASH are now used extensively to deliver television services to large numbers of viewers. In HAS, the client requests segments of content using HTTP, with an ABR algorithm selecting the quality at ...

research-article
Open Access
Low-latency cloud-based volumetric video streaming using head motion prediction

Volumetric video is an emerging key technology for immersive representation of 3D spaces and objects. Rendering volumetric video requires lots of computational power which is challenging especially for mobile devices. To mitigate this, we developed a ...

research-article
Viewport prediction for 360° videos: a clustering approach

An important component for viewport-adaptive streaming of 360° videos is viewport prediction. Increasing viewport prediction horizon enables the client to prefetch more chunks into the playback buffer. Having longer buffer results in less rebuffering ...

research-article
Sensing multimedia contexts on mobile devices

We use various multimedia applications on smart devices to consume multimedia content, to communicate with our peers, and to broadcast our events live. This paper investigates the utilization of different media input/output devices, e.g., camera, ...

research-article
Best Paper
Best Paper
PC-MCU: point cloud multipoint control unit for multi-user holoconferencing systems

This paper introduces the Point Cloud Multipoint Control Unit (PC-MCU): a key component for multi-user holoconferencing systems, where remote participants are represented as Point Clouds. The presented solution redefines the idea of MCU, broadly used to ...

research-article
LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning

Recent years have witnessed great success of mobile short-form video apps. However, most current video streaming strategies are designed for long-form videos, which cannot be directly applied to short-form videos. Especially, short-form videos differ in ...

research-article
What you see is what you get: measure ABR video streaming QoE via on-device screen recording

Analyzing delivered QoE for Adaptive Bitrate (ABR) streaming over cellular networks is critical for a host of entities including content providers and mobile network providers. However, existing approaches mostly rely on network traffic analysis. In ...

Contributors
  • Ozyegin University
  • University of Côte d’Azur
Index terms have been assigned to the content through auto-classification.

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Acceptance Rates

NOSSDAV '20 Paper Acceptance Rate10of22submissions,45%Overall Acceptance Rate118of363submissions,33%
YearSubmittedAcceptedRate
NOSSDAV '21521529%
NOSSDAV '20221045%
NOSSDAV '19321238%
NOSSDAV'17401538%
NOSSDAV '15431228%
NOSSDAV '14561832%
NOSSDAV '03601830%
NOSSDAV '02581831%
Overall36311833%