FGCS 2016 - Cloud-Based Multimedia Services for healthcare and other related applications
Topics/Call fo Papers
Today with the explosive growth of multimedia (MM) computing, we are observing the trend of using various multimedia tools, techniques and services in providing and managing e-health services ubiquitously. These services and technologies facilitate doctors and other health care professionals to have immediate access to e-health information for efficient decision making as well as better treatment. The realization however of multimedia services for e-health introduces several challenges. The passion for media results in a large number of Internet traffic that impose to make a tradeoff between QoS (Quality of Service) and cost in media network design for health care. Content distribution network (CDN) can be utilized to cache e-health media contents like real-time medical images, videos etc. However, lack of dynamic resource provisioning at CDN nodes limit effectiveness for the demand of computing power, storage space and network bandwidth to better support e-health initiatives. One potential solution for addressing all aforementioned issues is the introduction of cloud-based multimedia service for e-health.
Cloud computing fits well as an enabling technology in this scenario as it presents a flexible stack of computing, storage and software services at low cost. The cloud-based media services can provide a high quality of experience for physicians, clinics, and other caregivers anytime and from anywhere seamlessly. So this issue strives to foster state-of-the-art researches, methodologies and systems in the design, development, deployment and innovative use of cloud-centric multimedia services, tools and technologies for e-health. Authors are solicited to submit complete unpublished papers in the following, but not limited to:
Techniques, algorithms and innovative methods of processing multimedia health care data over the Cloud
QoS/QoE provisioning for cloud-centric multimedia services in health care
Dynamic resource allocation for multimedia health data processing in clouds
Multimedia cloud service composition in healthcare
M-QoE/M-QoS/M-QoC variations in health-cloud applications
Cloud-based remote display Protocol for health care
Media-cloud based resource allocation approaches
Cloud based model for speech-enabling healthcare
Cost effective media data processing and management for e-health
Health media streaming with multimedia cloud
Intelligent e-health multimedia service computing in clouds
E-health multimedia information management using cloud computing
E-health media contents indexing and retrieval in cloud
Monitoring and analysis of health care media contents in cloud
Business model of e-health multimedia service management in cloud
Context-aware e-health multimedia services and applications in cloud
Media cloud gaming for health care and sports
Cloud-based Serious games /Exergames for Healthcare Applications
Submission Guidelines
Original, high quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are sought. Papers will be peer reviewed by independent reviewers and selected based on originality, scientific quality and relevance to this Special Issue. The journal editors will make final decisions on the acceptance of the papers.
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. Authors should select “SI: MM Cloud for Health” when they reach the “Article Type” step in the submission process.
Link of the SI: http://www.journals.elsevier.com/future-generation...?
Important dates
? Paper submission due: May 30, 2015
? First-round review notification: Sep. 1, 2015
? Revision submission: October 30, 2015
? Notification of final decision: Nov 30, 2015
? Submission of final paper: December 31, 2015
? Publication date: March 16, 2016 (Planned)
Guest editors
M. Shamim Hossain (Leading Guest Editor)
King Saud University, KSA
Changsheng Xu
Chinese Academy of Sciences (CAS), China
A. M. Artoli
King Saud University, KSA
Manzur Murshed
Federation University Australia (Monash), Australia,
Stefan Goebel
KOM, Technical University Darmstadt, Germany
Cloud computing fits well as an enabling technology in this scenario as it presents a flexible stack of computing, storage and software services at low cost. The cloud-based media services can provide a high quality of experience for physicians, clinics, and other caregivers anytime and from anywhere seamlessly. So this issue strives to foster state-of-the-art researches, methodologies and systems in the design, development, deployment and innovative use of cloud-centric multimedia services, tools and technologies for e-health. Authors are solicited to submit complete unpublished papers in the following, but not limited to:
Techniques, algorithms and innovative methods of processing multimedia health care data over the Cloud
QoS/QoE provisioning for cloud-centric multimedia services in health care
Dynamic resource allocation for multimedia health data processing in clouds
Multimedia cloud service composition in healthcare
M-QoE/M-QoS/M-QoC variations in health-cloud applications
Cloud-based remote display Protocol for health care
Media-cloud based resource allocation approaches
Cloud based model for speech-enabling healthcare
Cost effective media data processing and management for e-health
Health media streaming with multimedia cloud
Intelligent e-health multimedia service computing in clouds
E-health multimedia information management using cloud computing
E-health media contents indexing and retrieval in cloud
Monitoring and analysis of health care media contents in cloud
Business model of e-health multimedia service management in cloud
Context-aware e-health multimedia services and applications in cloud
Media cloud gaming for health care and sports
Cloud-based Serious games /Exergames for Healthcare Applications
Submission Guidelines
Original, high quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are sought. Papers will be peer reviewed by independent reviewers and selected based on originality, scientific quality and relevance to this Special Issue. The journal editors will make final decisions on the acceptance of the papers.
Authors should prepare their manuscript according to the Guide for Authors available from the online submission page of the Future Generation Computer Systems at http://ees.elsevier.com/fgcs/. Authors should select “SI: MM Cloud for Health” when they reach the “Article Type” step in the submission process.
Link of the SI: http://www.journals.elsevier.com/future-generation...?
Important dates
? Paper submission due: May 30, 2015
? First-round review notification: Sep. 1, 2015
? Revision submission: October 30, 2015
? Notification of final decision: Nov 30, 2015
? Submission of final paper: December 31, 2015
? Publication date: March 16, 2016 (Planned)
Guest editors
M. Shamim Hossain (Leading Guest Editor)
King Saud University, KSA
Changsheng Xu
Chinese Academy of Sciences (CAS), China
A. M. Artoli
King Saud University, KSA
Manzur Murshed
Federation University Australia (Monash), Australia,
Stefan Goebel
KOM, Technical University Darmstadt, Germany
Other CFPs
- PhD School in Advanced Machine Learning: Partially Supervised Learning
- ISER-Third International Conference on Science, Innovation and Management(ICSIM-2015)
- ISER-Second International Conference on Recent Trends in Engineering and Technology (ICRTET-2015)
- ISER-2nd International Conference on Economics and Business Research (ICEBR-2015)
- ISER-2nd International Conference on Recent Advances in Medical Science (ICRAMS-2015)
Last modified: 2015-03-23 21:41:00