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MOBIMEDIA 2016
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    SMMA

    Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

    The workshop organizers cordially invite submissions of original research work to the Workshop (SMMA 2016), in conjunction with The 9th EAI International Conference on Mobile Multimedia Communications, to be held on June 18-19, 2016 in Xi’an, China. Crowdsensing is a process of acquisition, integra…

    The workshop organizers cordially invite submissions of original research work to the Workshop (SMMA 2016), in conjunction with The 9th EAI International Conference on Mobile Multimedia Communications, to be held on June 18-19, 2016 in Xi’an, China. Crowdsensing is a process of acquisition, integration, and analysis of big and heterogeneous data generated by a diversity of sources in urban spaces, such as sensors, devices, vehicles, buildings, and human. With the help of cloud computing, Internet of Things, and Big Data, Crowdsensing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to create solutions that improve urban environment, human life quality, and city operation systems. The proliferation of mobile devices has led to a bright new stage in which multimedia search and analysis are increasingly moving from the desktop to the cloud. Nowadays, it has become convenient to capture images and videos on the mobile end and associate them with social and contextual metadata such as comments and GPS tags. Such a hybrid data structure can benefit a wide variety of potential multimedia applications on the mobile end, such as location recognition, landmark search, augmented reality, and commercial recommendations. One intrinsic potential is to explore large-scale social multimedia to assist and facilitate location related applications, which is further promoted by the evolution of mobile devices. With the combination of social and mobile cues, several problems that are previously difficult to be tackled in multimedia content analysis have also become more tractable.

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    Editor(s): Zheng Yan (Xidian University, Xi'an, China), Honggang Wang (University Of Massachusetts Dartmouth, USA), Bin Song (Xidian University, China), Alvin Chin (MWB, USA), Peng Zhang (Zalando, Finland), Jun Liu (Xi’an Jiaotong University, China), Valtteri Niemi (University Of Helsinki, Finland), Yunsong Li (Xidian University, China) and Hongxin Tian (Xidian University, China)
    Publisher
    ACM
    ISBN
    978-1-63190-104-1
    ISSN
    -
    Conference dates
    18th–20th Jun 2016
    Location
    Xi'an, People's Republic of China
    Appeared in EUDL
    2016-12-12

    Copyright © 2016–2025 EAI

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    • 1
    • Building User Micro-blog Semantic view based on topic feature extraction

      Research Article in Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

      Shunxiang zhang, Shiyao Zhang, Guangli Zhu
    • Crowdsensing based Multi-Modal Storytelling of Urban Emergency Events using Social Media

      Research Article in Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

      Zheng Xu, Hui Zhang, Yunhuai Liu, Lin Mei
    • Crowdsensing-based Web Crawler for Emergency Event Analysis

      Research Article in Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

      Wei Wu, Xiao Wei, Bin Pan, Xiaokang Xu
    • Memory-Forgetting Model based on Virtual and Real Spaces for Commercial Recommendation

      Research Article in Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

      Yunlan Xue, Lingyu Xu, Jie Yu, Lei Wang, Gaowei Zhang
    • The role of mobile forensics in terrorism investigations involving the use of cloud apps

      Research Article in Workshop on the Crowdsensing and intelligent sensing on Mobile Media Analytics

      Niken Dwi Wahyu Cahyani, Nurul Hidayah Ab Rahman, Zheng Xu, William Bradley Glisson, Kim-Kwang Raymond Choo
    • 1
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