applications on the mobile end, such as location recognition, landmark search, ... research; development of new services
Special Section: Call for Papers Announcing a Special Section in IEEE Access:
Intelligent Sensing on Mobile and Social Media Analytics Submission Deadline: January 1, 2017 IEEE Access invites manuscript submissions in the area of Intelligent Sensing on Mobile and Social Media Analytics. 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. Current research in Intelligent Sensing addresses the following issues: Intelligent Sensing as a novel methodology for user-centered research; development of new services and applications based on human sensing, computation, and problem solving; engineering of improved Intelligent Sensing platforms including quality control mechanisms; incentive design of work; usage of Participatory Sensing for professional business; and theoretical frameworks for evaluation. This is opening a vast space of opportunities to extend the current networks, communications, and computer applications to more pervasive and mobile applications. The purpose of this Special Section in IEEE Access is to solicit the latest theoretical research for Mobile and Social Media Analytics. We prefer survey or tutorial style articles with clear application background information for this Special Section and welcome articles that may also have a multidisciplinary focus. The areas of interest include, but are not limited to, the following. Intelligent Sensing visual search and augmented reality Location based recommendation systems Intelligent Sensing computing and communication Intelligent Sensing 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 Intelligent Sensing computation Future trends in mobile Intelligent Sensing analytics Real-time Intelligent Sensing and mobile crowd sensing Adaptive Intelligent Sensing platforms Social media, semantic web viewpoints, and Intelligent Sensing blog platforms Experience reports and studies of Intelligent Sensing (i.e., services, testing, and measurements) Intelligent Sensing based security of mobile devices
We also highly recommend the submission of multimedia with each article as it significantly increases the visibility, downloads, and citations of articles. Associate Editor: Weiyao Lin, Shanghai Jiaotong University, China Guest Editors: 1. Zheng Xu, Tsinghua University & The Third Research Institute of the Ministry of Public Security, China 2. Yunhuai Liu, The Third Research Institute of the Ministry of Public Security, China 3. Neil Yen, University of Aizu, Japan 4. Raymond Choo, University of South Australia, Australia 5. Vijayan Sugumaran, Oakland University, United States
IEEE Access Editor in Chief: Michael Pecht, Professor and Director, CALCE, University of Maryland
Paper submission: Contact Associate Editor and submit manuscript to:
http://mc.manuscriptcentral.com/ieee-access For information regarding IEEE Access including its publication policy and fees, please visit the website
http://www.ieee.org/ieee-access
For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036,
[email protected])
