Thank you for all the preparation from all the Paper Authors and thank you for sharing the presentation slides with us. These presentation slides are now available at Detailed Program. Click on the paper title to view the presentation slides.
Thank you for waiting. All the conference photos have been uploaded and are now available at
Thank you once again for being part of MMSys 2017. We couldn't have done it without you!
MMSys 2017 - Main Conference Day 1, June 20
MMSys 2017 - Main Conference Day 2, June 21
MMSys 2017 - Main Conference Day 3, June 22
MMSys 2017 - Workshops, June 23
MMSys 2017 - Welcome Reception & Banquet
Thank you everyone for making the Conference a huge success!
The 8th ACM International Conference on Multimedia System (MMSys 2017) was successfully held in Taipei, Taiwan from June 20 - 23, 2017 with co-located workshops NOSSDAV, MMVE, and NetGames. Thanks to all who came to the Conference from all over the world and made it a huge success. We would like to also thank all the distinguished speakers for their wonderful and fruitful speech. MMSys 2017 came to a successful end.
The ACM Multimedia Systems Conference (MMSys) provides a forum for researchers to present and share their latest research findings in multimedia systems. While research about specific aspects of multimedia systems are regularly published in the various proceedings and transactions of the networking, operating system, real-time system, and database communities, MMSys aims to cut across these domains in the context of multimedia data types. This provides a unique opportunity to view the intersections and the inter-play of the various approaches and solutions developed across these domains to deal with multimedia data types.
In the morning of June 20, the conference officially started with five Overview Talks. The following overview talks have been given at MMSys: "Geometric representations of 3D scenes" by Géraldine Morin, University of Toulouse in France, "Humans, computers, delays and the joys of interaction" by Ragnhild Eg, Westerdals Oslo School of Arts in Norway, "Context-aware, perception-guided workload characterization and resource scheduling on mobile phones for interactive applications" by Chung-Ta King, National Tsing Hua University & Chun-Han Lin, National Taiwan Normal University, "Towards Understanding Truly Immersive Multimedia Experiences" Niall Murray, Athlone Institute of Technology in Ireland, "Rate Control In The Age Of Vision" by Ketan Mayer-Patel, University of North Carolina at Chapel Hill.
Following these five inspirational overview talks, the official opening remarks started in the afternoon by Kuan-Ta Chen, General Chair of ACM Multimedia Systems Conference 2017, and continue with the first keynote "The AR/VR Renaissance: opportunities, pitfalls, and remaining problems" delivered by Prof. Henry Fuchs, Federico Gil Professor, University of North Carolina at Chapel Hill. The first day of the conference ended with a welcome reception at LE BLE D'OR (Miramar).
The second keynote speech "Towards Large-scale Deployment of Intelligent Video Analytics Systems" was delivered by Dr. Julien Lai, Director of the Applied DL team of NVIDIA APAC Region , on June 22 Thursday (Main Conference - Day 3).
During Main Conference Day 2 & 3, we have total 6 Industrial talks. These informative industrial talks included: "Semantic Awareness in 360 Streaming" by Dr. Shannon Chen, Research Scientist of Facebook 360 Media Team, "On the frontiers of Video SaaS" by Dr. Sega Cheng, Co-founder & CEO of LIVEhouse.in, "What challenges are we facing after Netflix revolutionized TV watching?" by Dr. Shuen-Huei Guan, Technical Director of KKStream Limited, "The innovation and challenge of Interactive streaming technology" by Mr. Wesley Kuo, Founder of i@solution & Ubitus, "The overview of app streaming technology" by Dr. Sam Ding, CEO of VMFive, "Virtual Reality – The New Era of Future World" by Mr. WeiGing Ngang, Relationship Manager, HTC VIVE.
This year, ACM MMSys 2017 research track attracted 47 full paper submissions with 13 got finally accepted. It was carefully assigned to reviewers in the same field and each PC was assigned up to 4 papers (only 3 of them got 4). Each paper gets at least 3 reviews (majority of them get 4) and extra reviews are requested for papers with conflicting reviews. In addition to the full paper submissions, MMSys 2017 hosted 4 special sessions: Cloud-based multimedia, Multi-sensory experiences, Immersive Experiences in AR and VR, IoT connectivity and infrastructure. The demo sessions promote applied research, application prototypes and systems along with the scientific program. The sessions not only showcase the applicability of recent results to real-world problems but also trigger ideas exchanges between theory and practice and collaborations between MMSys attendees. In addition, The Open Dataset and Software Track was held at the 2nd Conference Room, software has been added to the (tranditional) Open Dataset Track this year.
ACM MMSys 2017 hosts three workshops during the last day of the conference: The 27th ACM SIGMM Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), The 9th International Workshop on Massively Multiuser Virtual Environments (MMVE), and the The 15th Annual Workshop on Network and Systems Support for Games (NetGames).
The 8th ACM Multimedia Systems Conference issued the following awards:
- The Best Paper Award - goes to "A Scalable and Privacy-Aware IoT Service for Live Video Analytics" by Junjue Wang (Carnegie Mellon University), Brandon Amos (Carnegie Mellon University), Anupam Das (Carnegie Mellon University), Padmanabhan Pillai (Intel Labs), Norman Sadeh (Carnegie Mellon University), and Mahadev Satyanarayanan (Carnegie Mellon University)
- The Best Student Paper Award - goes to "A Measurement Study of Oculus 360 Degree Video Streaming" by Chao Zhou (SUNY Binghamton), Zhenhua Li (Tsinghua University), and Yao Liu (SUNY Binghamton)
- NOSSDAV'17 Best Paper Award - goes to "A Comparative Case Study of HTTP Adaptive Streaming Algorithms in Mobile Networks" by Theodoros Karagkioules (Huawei Technologies France/Telecom ParisTech), Cyril Concolato (Telecom ParisTech), Dimitrios Tsilimantos (Huawei Technologies France), Stefan Valentin (Huawei Technologies France)
- Excellence in DASH award sponsored by the DASH-IF
1st place: "SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks" by Ahmed Zahran (University College Cork), Jason J. Quinlan (University College Cork), K. K. Ramakrishnan (University of California, Riverside), and Cormac J. Sreenan (University College Cork)
2nd place: "Improving Video Quality in Crowded Networks Using a DANE" by Jan Willem Kleinrouweler, Britta Meixner and Pablo Cesar (Centrum Wiskunde & Informatica)
3rd place: "Towards Bandwidth Efficient Adaptive Streaming of Omnidirectional Video over HTTP" by Mario Graf (Bitmovin Inc.), Christian Timmerer (Alpen-Adria-Universität Klagenfurt / Bitmovin Inc.), and Christopher Mueller (Bitmovin Inc.)
5. Student Travel Grants Awards (thanks to SIGMM)
Congratulations to all the award winners of ACM Multimedia Systems Conference 2017!
Last but not least, we would like to extend our sincere appreciation to our sponsors:
Adobe - Gold Sponsor
Nvidia - provide NVIDIA Tesla M40 for the MMSys'17 Best Paper Award
HTC Vive - provide three vives for the MMSys'17 Best Student Paper Award, NOSSDAV'17 Best Paper Award and Lucky Draw award at the Conference Banquet
We greatly appreciate the excellent support of our generous sponsors, without whom the success of the conference would not be possible.
Finally, we are pleased to announce next year's ACM Multimedia Systems Conference will be held in Netherlands with Pablo Cesar, Centrum Wiskunde & Informatica. We loved hosting you and we are already looking forward to seeing you all again in Netherlands next year! See you all in 2018.
More photos of ACM Multimedia Systems Conference 2017 will be coming soon....
The Proceedings of ACM Multimedia Systems has been online at
Proceedings of NOSSDAV'17:
Proceedings of NetGames'17:
Proceedings of MMVE'17:
Prof. Bo Li | Professor in the Department of Computer Science and Engineering, HKUST
Abstract: Cloud computing has taken the industry by a storm in the past decade, which, as the backend engine, has been affecting and improving our daily lives. One interesting aspect in this new computing paradigm is that communication take place not just at the edge of the system that interface with users, but plays a key role at the heart of datacenters, where large volumes of intermediate results have to be delivered to the next stage of data analytic jobs as quickly as possible, and video analytics is one of such examples with very high resource demands. In this talk, we will discuss the resource allocation for cloud computing in general, and present the case for scheduling multiple types of resources in the cloud, with the hope of supporting multiple co-existing jobs in a fair and efficient manner. With the recently introduced notion of coflow, a correlated group of flows, whose completion time is determined by the flow finishing last. We show the optimal solution relies on resolving a set of conflicting criteria, and we will illustrate some existing approaches and our endeavours along this direction.
Bio: Bo Li is a professor in the Department of Computer Science and Engineering, HKUST. He is also the Chief Technical Advisor for ChinaCache Corp. (a NASDAQ listed company), one of the leading CDN service providers in the world. He was a Cheung Kong Chair Professor in Shanghai Jiao Tong University (2010-2016).He was with IBM Networking System before joining HKUST in 1996. His recent research interests include: multimedia communications, large-scale content distribution in the Internet, datacenter networking, cloud computing, and wireless sensor networks.
He is a Fellow of IEEE. He made pioneering contributions in the Internet video streaming with a system called, Coolstreaming, which was credited as the first large-scale Peer-to-Peer live video streaming system in the world. The work received the Test-of-the-Time Paper Award from IEEE INFOCOM (2015), and USD 25M VC investment from Softbank Inc. He received the State Natural Science Award (2nd Class) and five Best Paper Awards from IEEE. He has been an editor or a guest editor for a dozen of IEEE and ACM journals and magazines. He was the Co-TPC Chair for IEEE INFOCOM 2004.
Bo Li He received his B. Eng. Degree in the Computer Science from Tsinghua University, Beijing, and his Ph.D. degree in the Electrical and Computer Engineering from University of Massachusetts at Amherst.
Dr. Shun-Yun Hu | Co-Founder of Imonology Inc., Taiwan
Abstract: As we start to experience exponential growth in tech and productivity in certain areas, some pioneers are foreseeing a future where most society members do not need to work (in the traditional sense) for the society to support itself in most basic needs. Universal Basic Income (UBI) therefore has been proposed as a remedy to protect against the loss of job security, in a future where productivity of physical goods might far exceed demands.
Developments in Virtual Reality (VR) and Virtual Environments (VE) on the other hand, might just fill in the gap for people to find something to do and to work on, in a space that is literally limited only by humanity's imagination.
In this talk I will present both a "Good" and a "Bad" scenario of how this future might go, so that as researchers and technologists, we might start to reflect and think about how our works might impact society, knowingly or unknowingly, into humanity's bright (or dim) future. In hope that we will collectively secure ourselves a future that we all want to live in.
Shun-Yun has been doing research in scalable virtual environments using peer-to-peer (P2P) techniques since 2003, and has published his works as both research papers and free software projects (VAST and Scalra). After adventuring in Sierra games at 7 and Ultima VII later, Shun-Yun has since been fascinated by the possibilities of games and virtual worlds, and co-founded Imonology in 2010 to make virtual world creation easier and more affordable. Shun-Yun is also dad to two vegetarian kids and has a Ph.D degree in computer science from National Central University.
Polly Huang | Professor at National Taiwan University
Abstract: As the proportion of the multimedia/game traffic over the Internet through wireless and mobile access rises and the world economy recovers slowly, the issue of streaming real-time content cost-effectively is ever more pressing. The key question to address here is how to satisfy more (paying) users given limited resources. Users switch to other services/games because they can't hear/see the content well, not because they detect the fine-grained changes in network loss, delay or jitter, so called Quality of Service (QoS). Over the years, the Internet engineers, although getting very good at designing for QoS, have overlooked the fact that users might not perceive the subtle quantitative difference in QoS metrics to the overall user experience. Towards a user-friendly, therefore economically healthy, mobile Internet, we see the need to measure, understand, and redesign various control mechanisms for quality of user experience (QoE), in addition to the QoS. Using Skype/SILK VoIP service as an example, we show how one (1) measures QoE of calls delivered of different QoS, (2) derives models that translate from QoS to QoE, and (3) exploits the model for a design that pleases the users more under the same resource constraint.
Bio: Polly is a professor at the Department of Electrical Engineering of National Taiwan University (NTU EE). Polly received her PhD from USC (CS 1999) and her BS from NTU (Math 1993). Before returning to NTU, she spent the early days of her career at AT&T Labs-Research, ETH Zurich, and UCLA. Polly was also a visiting scientist at CSAIL MIT Fall 2013. Over the past 20+ years, Polly has random walked a number of projects under the big umbrella of network and system research, including multicast routing, network simulation, Internet measurement, performance modeling, QoS, sensor networking, indoor localisation, delay-tolerant networking, time synchronisation, mobile system, event/activity inference, ubiquitous and wearable computing, e-health, and etc. The experience has nurtured her interest in design, analysis, and applications of communication networks and systems in general. Her recent interest spans the following 2 areas: multimedia networking and mobile/sensor system. Polly has (co-)authored over 100 technical articles and over 10 US patents. She has served as a TPC member for a number of high-profile network/system conferences, including ACM Sensys, Mobisys, Sigcomm, Mobicom. She has also served as an associate editor of ACM TOSN, and currently an associate editor of ACM IMWUT. She is a member of the ACM and IEEE.
Dr. Julien Lai | Director of the Applied DL team of NVIDIA APAC Region
Abstract: One of the grand challenges of AI is to understand video content. Applications are endless: video surveillance, self-driving cars, live video streaming, ad-placement, etc. Problem is that Deep Learning, which has been boosting modern AI, is computationally expensive. It’s even more challenging when it comes to live stream video. Chip manufacturers are continuously pushing the edge of current IC technology to achieve both high throughput/performance, and high power efficiency. Engineers have also applied techniques such as network pruning, low precision, and model compression, to further accelerate network inference. That is also why our team are building the NVIDIA DeepStream SDK, which simplifies development of high performance video analytics applications powered by deep learning. We have seen successful large-scale deployment of such intelligent video analytics systems, and we see this as an unstoppable trend.
Bio: Dr. Junjie Lai received his bachelor and master degrees from Tsinghua University, and received his PhD degree from INRIA, France. His PhD research focused on GPU architecture study, performance analysis and optimization.
Dr. Lai is currently the director of the HPC software development and Applied Deep Learning team of NVIDIA APAC region. Besides leading the team, he is collaborating with developers from many well-known internet companies, to better accelerate their deep learning applications with NVIDIA GPUs. His primary focus now is to apply Deep Learning/Machine Learning techniques for various real-world problems in Computer Vision, Finance, etc.
Prof. Dah Ming Chiu | Research Professor of Chinese University of Hong Kong
Abstract: Due to recent advances in VR and AR technology and applications, more and more videos streamed on-line become 360 degree and 3D. This creates new challenges for video streaming when bandwidth is limited. Besides adapting video resolution to bandwidth, there is also opportunity to adapt what to stream to user attention, or content creator's wish for focus. This opens up exciting opportunities for interesting research. We will describe some existing work (industry seems to be leading the way in this space), and discuss our own efforts.
Bio: Dah Ming received undergraduate degree from Imperial College London, and PhD from Harvard University. After serving in industry (AT&T Bell Labs, DEC, Sun Microsystem), he joined CUHK in 2002 as a professor, and served as department chairman from 2009 to 2015.
His recent research interests include Internet content distribution, data-driven modeling and analysis of large scale systems, and network economics. He has also worked on analyzing academic social networks, and mining insights on academic research trends and evaluation methodology. Dah Ming is an IEEE Fellow. He served as an Associate Editor for IEEE/ACM Transactions on Networking from 2006 to 2011 and TPC member for many networking conferences. He was the general co-chair of ACM Sigcomm 2013 held in Hong Kong in August of 2013, with record breaking attendance.
Sega Cheng | Co-founder/CEO of StraaS and LIVEhouse
Abstract: Video is hard in both technical and business perspectives. As internet users shift their eyeballs and time to videos, fragmented infrastructure, limited bandwidth, variable user behaviors, and volatile revenue models, among others, have entangled to form unique challenges in the business world of our time. In this talk, Sega will share his years of experience in internet videos, covering technical challenges and business opportunities in the future.
Bio: Sega Cheng is co-founder and CEO of IKALA (愛卡拉), with the mission to enable customers’ online video business. Its’ enterprise product StraaS.io, is a video SaaS platform for customers to build their video applications. IKALA is also the owner of LIVEhouse.in, a well-known live content production team in Asia. He is sitting at the board of Gamania, one of the largest gaming companies in Asia. He is also an advisor of Taipei City Hall. He was an advisor at Youth Advisor Group, reporting directly to the prime minister of Taiwan.
Sega had been a software engineer in Google for 6 years, where he participated in a wide a spectrum of important projects during the term, including Android media, web search infrastructure, Google maps, and iGoogle. He received his master degree from Stanford University, specializing in artificial intelligence in computer science department.