Attending Conference

SmartMM2017 is co-located with SmartComp 2017, which will share information in attending the conference. Please check following important links before you plan your itinerary.

  • Camera-ready Instructions: (SmartMM Track)

  • Author Registration:

  • Local Accommodation Details:

    If you have any questions, please email:

    Workshop Program

    09:30 Opening
    Keynote: Video Streaming Over Information Centric Networks
    by Prof. Jianping Wang, City University of Hong Kong
    10:30 Coffee Break
    11:00 Section I
    [1] Image-based Video Retrieval Using Deep Feature. Mao Wang, Yuewei Ming, Qiang Liu and Jianping Yin.
    [2] Learning Generic Features from DEH Channels for Object Proposals Generation. Yiliu Feng, Zhangfa Liang and Hengzhu Liu.
    [3] Building TensorFlow Applications in Smart City Scenarios. Davide Mulfari, Antonino Longo Minnolo and Antonio Puliafito.
    [4] Smart Airplane Seat Assignment System for Passengers’ Multimedia Preferences. Jing Qiu, Chih-Fu Wu, Aihua Wu and Ling Liu.
    12:30 Lunch
    14:00 Section II
    [5] Minimum Number of Transmission Slots in D2D-assisted Wireless Coded Broadcast. Cheng Zhan, Zhe Wen and Liyue Zhu.
    [6] A Smart Map Sharing and Preloading Scheme for Mobile Cloud Gaming in D2D Networks. Ziqiao Lin, Zehua Wang, Wei Cai and Victor Leung.
    [7] Adaptive Video Streaming in Hybrid Landslide Detection System with D-S Theory. Zhi Liu, Kenji Kanai, Masaru Takeuchi, Toshitaka Tsuda and Hiroshi Watanabe.
    15:30 Coffee Break

    Keynote Speaker

    Speaker: Prof. Jianping Wang

    (Associate Professor, City University of Hong Kong)


    Video Streaming Over Information Centric Networks


    Nowadays, video streaming accounts for most part of Internet traffic, which imposes the pressure on both network and applications. To achieve better service, Internet service providers (ISPs) and applications can take actions from different perspectives. ISPs can reduce network bandwidth consumptions by routing and in-network cache deployment, a main feature in information-centric networks (ICN). Many applications adopt dynamic adaptive streaming over HTTP (DASH) to adjust streaming’s bit rates (rate adaption) according to the network condition. The efforts taken by ISPs and applications place challenges to each other. In this talk, we address such challenges and present the work which aims to achieve the best gain of the efforts from both ISPs and applications for video streaming. In particular, we will address in-network cache design, traffic engineering for DASH, and efficient encrypted video delivery while preserving the benefits of in-network caching.


    Dr. Jianping Wang is currently an associate professor in the Department of Computer Science, City University of Hong Kong. She received BSc and MSc degrees from Nankai University in 1996 and 1999 respectively, and Ph.D. degree from University of Texas at Dallas in 2003. Her research interests include Information Centric Networking, Cloud computing, Service-oriented networking, Wireless Networking, Optical networking, and Fiber-Wireless Networking. She is an associate editor of IEEE Transactions on Mobile Computing, Optical Switching and Networking. Her research has been supported by NSF (US), Hong Kong RGC GRF, NSF China, ITF, Google, and Huawei. She has participated in RFC7933, Adaptive Video Streaming over Information-Centric Networking.

    Call for Papers

    Multimedia application is among the most intensive systems in the internet. Rich content and latency intensive features of multimedia requires sophisticated infrastructure support from cloud, network, and terminals. Smart service system, the emerging topic, should be explored for improving human experience in multimedia applications.

    The 2017 IEEE International Workshop on Smart Multimedia (SmartMM2017) focuses on smart technologies in multimedia system and applications. The SmartMM2017 will be in conjunction with The 3rd IEEE International Conference on Smart Computing (SmartComp2017) on 29-31 May, 2017.

    The topics to be addressed at SmartMM2017 will include, but are not limited to, all aspects of smart computing applications and technologies regarding multimedia system. We encourage submissions that showcase fundamental research to address challenges in enabling smart multimedia. Submissions should be targeted to one of the following four major topics and their sub-topics:

    • Measurement and Modeling
      • QoS measurement in smart multimedia applications
      • QoE modeling in smart multimedia applications
      • User behavior analysis and prediction in smart multimedia applications
    • Design and Implementation
      • Architecture of network caching for smart multimedia
      • Named data network (NDN) for smart multimedia
      • Software-defined networks for smart multimedia
      • Smart device-to-device (D2D) sharing for multimedia
      • Novel architecture and engineering approach in smart multimedia
    • System Optimization
      • Smart resource allocation in multimedia applications
      • Smart task scheduling for multimedia applications
      • QoE-oriented optimization in smart multimedia application
      • Cognitive service integration in multimedia applications
    • Emerging Smart Multimedia Applications

    Submission Guidelines

    Paper submissions should be no longer than 6 pages and formatted according to the IEEE conference template. Papers must be submitted electronically as PDF files to SmartMM2017 track at SmartComp2017 through EasyChair.

    All submitted papers will be subject to peer reviews by Technical Program Committee members and other experts in the field. All presented papers will be published in the SmartComp2017 conference proceedings and submitted to the IEEE Xplore Digital Library. All accepted papers will be EI indexed.

    Organizing Committee

    General Co-Chairs

    • Victor C.M. Leung, The University of British Columbia, Canada
    • Wei Cai, The University of British Columbia, Canada

    Technical Program Co-Chairs

    • Zhi Liu, Waseda University, Japan
    • Zehua Wang, The University of British Columbia, Canada

    ​Technical Program Committee (in progress)

    • Wanyu Lin, University of Toronto, Canada
    • Changwei Hu, Duke University, USA
    • Ryan Shea, Simon Fraser Univesity, Canada
    • Cheng Zhang, Waseda University, Japan
    • Xing Liu, University of Washington, Tocoma, USA
    • Lihua Zhao, National Institute of Advanced Industrial Science and Technology, Japan
    • Hwai-Jung Wesley Hsu, Feng Chia University, Taiwan
    • Yu Gu, Hefei University of Technology, China
    • Hao Zhou, University of Science and Technology of China
    • Qiyue Li, Hefei University of Technology, China
    • Xiaoyan Wang, Ibaraki University, Japan
    • Bo Gu, Kogakuin University, Japan
    • Shuai Han, Harbin Institute of Technology, China
    • Wei Wang, Huazhong University of Science and Technology, China
    • Yong Zhou, The University of British Columbia, Canada
    • Kuan Zhang, University of Waterloo, Canada
    • Xiaofei Wang, Tianjin University, China
    • Lei Yang, South China University of Technology, China