ACM | MMSys 2022

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ACM | MMSys 2022

  • Home
  • Program
    • Awards
    • Keynotes
    • Accepted Papers
    • Social Events
    • Overall Program
  • Authors
    • Call For Papers
    • Diversity & Inclusion
    • Important Dates
    • Artifact Review and Badging
    • Mentoring
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  • Attending
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MMSys 2022 Awards

Best Paper Award

“Deep Variational Learning for Multiple Trajectory Prediction of 360° Head Movements” - Quentin Guimard, Lucile Sassatelli, Francesco Marchetti, Federico Becattini, Lorenzo Seidenari, Alberto Del Bimbo

Best Student Paper

“Context-aware Image Compression Optimization for Visual Analytics Offloading” - Bo Chen, Zhisheng Yan, Klara Nahrstedt

Best Student Paper

“Encrypted Video Search: Scalable, Modular, and Content-Similar” - Yu Zheng, Minxin Du, Chong Fu, Heng Tian

Best Open Dataset & Software Paper

“SILVR: A Synthetic Immersive Large-Volume Plenoptic Dataset” - Martijn Courteaux, Julie Artois, Stijn De Pauw, Peter Lambert, Glenn Van Wallendael

Best Demo & Industry Paper

“Virtual Visits: Life-size Immersive Communication” - Sylvie Dijkstra-Soudarissanane, Simon Gunkel, Véronne Reinders

 

Workshop Awards

NOSSDAV Best Paper

“Applying VertexShuffle Toward 360-Degree Video Super-Resolution” - Na Li, Yao Liu

GameSys & MMVE Best Paper

“The Impact of Network and Social Context on Quality of Experience for Competitive Multiplayer Virtual Reality Games” - Ivan Slivar, Sara Vlahovic, Matko Silic, Lea Skorin-Kapov, Mirko Suznjevic

 

DASH-IF Awards

Excellence in DASH Award: 1st

“Nagare Media Ingest: A Server for Live CMAF Ingest Workflows” - Matthias Neugebauer

Excellence in DASH Award: 2nd

“Does TCP New Congestion Window Validation Improve HTTP Adaptive Streaming Performance?” - Mihail Yanev, Colin Perkins, Stephen McQuistin

Excellence in DASH Award: 3rd

“C2: Consumption Context Cognizant ABR Streaming for Improved QoE and Resource Usage Tradeoffs” - Cheonjin Park, Chinmaey Shende, Subhabrata Sen, Bing Wang

Excellence in DASH Award: 3rd

“GreenABR: Energy-Aware Adaptive Bitrate Streaming with Deep Reinforcement Learning” - Bekir Turkkan, Ting Dai, Adithya Raman, Tevfik Kosar, Changyou Chen, Muhammed Fatih Bulut, Jaroslaw Zola, Daby Sow

 

 

 

 

 

 

Important Dates

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Important Dates

Call For Papers

Download Call For Papers

 

Workshops

GameSys Website

MMVE Website

NOSSDAV Website

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