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MCNA 2020 : IEEE co-sponsored International Conference on Multimedia Computing, Networking and Applications

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Link: http://intelligenttech.org/MCNA2020/
 
When Oct 19, 2020 - Oct 22, 2020
Where Valencia, Spain
Submission Deadline Aug 10, 2020
Notification Due Aug 30, 2020
Final Version Due Sep 13, 2020
Categories    multimedia   computer vision   machine learning   image processing
 

Call For Papers

COVID-19 Update:

The organizing team is closely monitoring the development of the COVID-19 situation. The safety and well-being of all conference participants is our priority. Considering the current circumstances, MCNA2020 will run virtually and the registration fees will be reduced accordingly.


CALL FOR PAPERS
Dealing with data from different modalities, is the common case in today's systems. With the continuous development in network technologies, acquisition systems, and computational power, creating and sharing multimedia data is becoming easier for all people around the world. On Facebook, for example, around 500000 comments are posted and around 135000 images are uploaded every second. Storing, searching in, analyzing, and utilizing Multimedia data are highly challenging. That is why the International Conference on Multimedia Computing, Networking and Applications (MCNA) gives the opportunity for researcher and practitioners to present their efforts in addressing the challenges of dealing with Multimedia data. The main topics include but are not limited to:
• Intelligent Image / Video Analytics
• Digital Image and Video Processing
• Image Rendering and Quality
• Imaging Sensors and Acquisition Systems
• Content Based Image/Video Retrieval
• Vision for Graphics
• Human Behavior Understanding
• Deep Artificial Intelligence
• Motion and Tracking Algorithms and Applications
• Watermarking Methods and Protection
• Image Data Structures and Databases
• Color Reproduction
• Image Compression, Coding, and Encryption
• Statistical and Structural Pattern Recognition
• Performance Analysis and Evaluation
• Novel Image Processing Applications
• Machine Learning Technologies for Vision
• Multimedia in Bioinformatics
• Virtual Reality and Simulations
• Augmented Reality Image Processing
• Computational and Architectural Aspects of Human Vision
• Innovative Multimedia Systems or Devices
• Internet / Mobile Multimedia Sharing
• Intelligent e-Health based on Multimedia Analysis
• Games and Gamification
• Optimization Methods in Multimedia systems
• Vision and Languages

Full Paper Important Dates
• Full paper submission: July 14th, 2020
• Full paper acceptance notification: August 23rd, 2020
• Full paper camera-ready submission: September 13th, 2020

Submission Site:
https://easychair.org/conferences/?conf=mcna2020

Paper format
Submitted papers (.pdf format) must use the A4 IEEE Manuscript Templates for Conference Proceedings. Please remember to add Keywords to your submission.

Length
Submitted papers may be 6 to 8 pages. Up to two additional pages may be added for references. The reference pages must only contain references. Overlength papers will be rejected without review.

Author list
Please ensure that you submit your papers with the full and final list of authors in the correct order. The author list registered for each submission is not allowed to be changed in any way after the paper submission deadline.

Proofreading:
Please proofread your submission carefully. It is essential that the language use in the paper is clear and correct so that it is easily understandable. (Either US English or UK English spelling conventions are acceptable.)

Publication:
All accepted and registered papers in MCNA2020 and the workshops co-located with it will be submitted to IEEEXplore for possible publication.

JOURNAL SPECIAL ISSUES:
Selected papers from the conference will be invited to submit an extended version to the following journal(s). Confirmed Special Issues are:
*Springer Peer-to-Peer Networking and Applications (IF: 2.397)
*Springer Cluster Computing (IF: 1.85)
*Springer Journal of Network and System Management (IF: 1.676)
*MDPI Sensors (IF: 3.031)

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