posted by organizer: BenoitHuet || 2111 views || tracked by 8 users: [display]

TMM-SI-DeepLearningMM 2015 : IEEE Transactions on Multimedia Special Issue on Deep Learning for Multimedia Computing

FacebookTwitterLinkedInGoogle

Link: http://www.signalprocessingsociety.org/uploads/email/TMM_SI_deep_learning.html
 
When N/A
Where N/A
Submission Deadline Apr 20, 2015
Notification Due Jun 1, 2015
Final Version Due Sep 1, 2015
Categories    deep learning   convulationnal neural network   multimedia
 

Call For Papers

Call For Papers
IEEE Transactions on Multimedia
Special Issue on Deep Learning for Multimedia Computing

Summary:
Conventional multimedia computing is often built on top of handcrafted features, which are often much restrictive in capturing complex multimedia content such as images, audios, text and user-generated data with domain-specific knowledge. Recent progress on deep learning opens an exciting new era, placing multimedia computing on a more rigorous foundation with automatically learned representations to model the multimodal data and the cross-media interactions. Existing studies have revealed promising results that have greatly advanced the state-of-the-art performance in a series of multimedia research areas, from the multimedia content analysis, to modeling the interactions between multimodal data, to multimedia content recommendation systems, to name a few here.
This special issue aims at providing a forum to present recent advancements in deep learning research that directly concerns the multimedia community. Specifically, deep learning has successfully designed algorithms that can build deep nonlinear representations to mimic how the brain perceives and understands multimodal information, ranging from low-level signals like images and audios, to high-level semantic data like natural language. For multimedia research, it is especially important to develop deep networks to capture the dependencies between different genres of data, building joint deep representation for diverse modalities.

Scope:
The topics of interest include but are not limited to
1. Novel deep network architectures for multimodal data
2. Efficient training and inference methods for multimedia deep networks
3. Emerging applications of deep learning in multimedia search, retrieval and management
4. Deep learning for multimedia content analysis and recommendation
5. Deep learning for cross-media analysis, knowledge transfer and information sharing
6. Distributed computing, GPUs and new hardware for deep learning in multimedia research
7. Other deep learning topics for multimedia computing, involving at least two modalities

Submission guideline:
Prospective authors should submit original manuscripts that have not appeared, nor are under consideration, in any other journals. Prospective authors are required to strictly follow the Author’s Guide for manuscript submission to the IEEE Transactions on Multimedia (TMM) at http://www.signalprocessingsociety.org/tmm/tmm-author-info/, and manuscripts should be submitted electronically through the online IEEE manuscript submission portal at http://mc.manuscriptcentral.com/tmm-ieee.

Important Dates
Paper submission due: March 15, 2015
First-round review completed: June 1, 2015
Revision Due: July 1, 2015
Second-round review completed: August 1, 2015
Final manuscript due: September 1, 2015
Publication date: November/December 2015

Guest Editors (in alphabetic order of last name)
Dr. Benoit Huet, Eurecom, France
Dr. Hugo Larochelle, University de Sherbrooke, Canada
Dr. Jiebo Luo, University of Rochester, USA
Dr. Guo-Jun Qi, University of Central Florida, USA
Dr. Kai Yu, Baidu Inc., China

Senior adviser: Prof. Thomas Huang, University of Illinois at Urbana-Champaign, USA

Related Resources

ACML 2017   The 9th Asian Conference on Machine Learning
NIPS 2017   The Thirty-first Annual Conference on Neural Information Processing Systems
IEEE TETC SI 2017   IEEE Transactions on Emerging Topics in Computing, Special Issue on Scholarly Big Data
ICCT-IEEE 2017   17th IEEE International Conference on Communication Technology(ICCT 2017)
SI-SoftMM 2017   Special Issue on Soft Computing Techniques and Applications on MM Data Analyzing Systems-- Springer Journal of Multimedia Tools and Applications
JARES 2017   International Journal of Advance Robotics & Expert Systems
ICCNS - Ei 2017   ACM--2017 the 7th International Conference on Communication and Network Security (ICCNS 2017)--SCOPUS, Ei Compendex
IoMT Big Data 2017   Towards Smarter Cities: Learning from Internet of Multimedia Things-Generated Big Data
SI: Cyber Forensics&Threat Intelligence 2017   IEEE Transactions on Sustainable Computing SI on Sustainable Cyber Forensics and Threat Intelligence
SI: IEEE Access VSB 2017   IEEE Access Special Section on Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities