International 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. The paper submissions must follow the ACM formatting guidelines (see Author's kit section) and through submission system.
Call for Papers
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.
The one-day workshop will consist of papers, presentations and demonstrations on the subject of Crowdsensing. An invited keynote speech will be given setting out the overall area of Crowdsensing in network development and operations. Extended versions of selected papers will be considered for publication in Springer Mobile Networks and Applications (Springer) (MONET) (IF: 1.109).
Topics of interest include, but are not limited to:
- Crowdsensing visual search and augmented reality
- Location based recommendation systems
- Crowdsensing computing and communication
- Crowdsensing big data computing for social and mobile applications
- Multi device scene modeling in ad hoc wireless network
- Mobile and social network privacy
- Cloud-terminal collaboration in Crowdsensing computation
- Future trends in mobile Crowdsensing analytics
- Real-time Crowdsensing and mobile crowd sensing
- Adaptive Crowdsensing platforms
- Social media, semantic web viewpoints, and Crowdsensing blog platforms
- Experience reports and studies of Crowdsensing (i.e., services, testing, and measurements)
The submitted papers must be original and must not be under consideration in any other venue. All submitted papers will be reviewed by at least three reviewers and selected based on their originality, significance, relevance, and clarity of presentation. The editors will approve final decisions on accepted papers. Manuscripts must be prepared according to the following journal’s Author Guidelines. Prospective authors should submit full manuscripts with MS Word format or PDF format.
Paper submission deadline:
Final manuscript due:
Xi’an, China (venue to be announced)
April 17, 2016
May 1, 2016
May 8, 2016
- Zheng Xu, Tsinghua University, Beijing, China
- Yunhuai Liu, Hong Kong University of Science and Technology, Hong Kong
- Neil Yen, University of Aizu, Japan
- Raymond Choo, University of South Australia, Australia
Workshop Program Committee:
- Shunxiang Zhang, Anhui Univ. of Sci. & Tech., China
- Guangli Zhu, Anhui Univ. of Sci. & Tech., China
- Tao Liao, Anhui Univ. of Sci. & Tech., China
- Xiaobo Yin, Anhui Univ. of Sci. & Tech., China
- Xiangfeng Luo, Shanghai Univ., China
- Xiao Wei, Shainghai Univ., China
- Kun Gao, Zhejiang Wanli Institute, China
- Huan Du, Shanghai Univ., China
- Zhiguo Yan, Fudan University, China
- Vijayan Sugumaran, Oakland University, USA
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