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MR2AMC 2018: Multimodal Representation, Retrieval, and Analysis of Multimedia Content

In Conjunction with First IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2018), Miami, Florida, USA, April 10, 2018

We are excited to announce that the MR2AMC 2018 workshop is now sponsored by Bloomberg. Many thanks from the organizers.

Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) 2018 is the IEEE MIPR workshop that aims to provide an international forum for researchers in the field of multimedia data processing, analysis, search, mining, and management leveraging multimodal information. This workshop will provide a forum to researchers and practitioners from both academia and industry for original research contributions and practical system design, implementation, and applications of multimodal multimedia information processing, mining, representation, management, and retrieval. MR2AMC 2018 invites research papers in the area of multimodal multimedia content analysis, search and retrieval, semantic computing, and affective computing. Accepted papers of MR2AMC 2018 will be published as part of the workshop proceedings in the IEEE Digital Library. Extended versions of the accepted workshop papers will be invited for publication in Springer Cognitive Computation and IEEE Computational Intelligence Magazine.




Call for Papers


Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) is the IEEE Multimedia Information Processing and Retrieval (MIPR) workshop series on the understanding of multimodal multimedia content. MR2AMC aims to provide an international forum for researchers in the field of multimedia data processing, analysis, search, mining, and management leveraging multimodal information. This workshop will provide a forum to researchers and practitioners from both academia and industry for original research contributions and practical system design, implementation, and applications of multimodal multimedia information processing, mining, representation, management, and retrieval. The broader context of the workshop comprehends Web mining, AI, Semantic Web, multimedia information retrieval, event understanding, and natural language processing. For more information, write to mr2amc.group@gmail.com

Rationale

The presence of social media platforms creates an abundance of multimedia content on the web due to advancements in digital devices and affordable network infrastructures. It has enabled anyone with an Internet connection to easily create and share their ideas, opinions, updates, and preferences through multimedia content with millions of other people around the world. Thus, it necessitates novel techniques for an efficient processing, analysis, mining, and management of multimedia data to provide different multimedia-related services. Such techniques should also able to search and retrieve information from within multimedia content. Since much signi cant contextual information such as spatial, temporal, and crowd-sourced information is also available in addition to the multimedia content, it is very important to leverage multimodal information because different representations represent different knowledge structures. However, decoding such knowledge structures into useful knowledge from a huge amount of multimedia content is very complex due to several reasons. Till date, the most of the semantic analysis, sentiment analysis, multimedia representation, multimedia information search and retrieval, opinion mining, and event understanding engines work in the unimodal setting. There is very limited work done which use multimodal information for these tasks. In this light, this workshop will focus on the use of multimodal information to analyze, represent, mine and manage multimedia content to support several semantic and sentiment based multimedia analytics problems. It will also focus on interesting multimedia systems that build upon semantic and sentiment information derived from multimedia data.

Accepted papers of MR2AMC 2018 will be published as part of the workshop proceedings in the IEEE Digital Library. Extended version of the accepted workshop papers will be invited for publication in Springer Cognitive Computation and IEEE Computational Intelligence Magazine (whichever matches closely with papers).

Topics of Interest

The primary goal of the proposed workshop is to investigate whether multimedia content when fused with other modalities (e.g., contextual, crowd-source, and relationship information) can enhance the performance of unimodal (e.g., when only multimedia content) multimedia systems. The broader context of the workshop comprehends Multimedia Information Processing (e.g., Natural Language Processing, Image Processing, Speech Processing, and Video Processing), Multimedia Embedding (e.g., Word Embedding and Image Embedding), Web Mining, Machine Learning, Deep Neural Networks, and AI. Topics of interest include but are not limited to:

  • Multimodal Multimedia Search, Retrieval and Recommendation
  • Multimodal Personalized Multimedia Retrieval and Recommendation
  • Multimodal Event Detection, Recommendation, and Understanding
  • Multimodal Multimedia based FAQ and QA Systems
  • Multimodal based Diverse Multimedia Search, Retrieval and Recommendation
  • Multimodal Multimedia Content Analysis
  • Multimodal Semantic and Sentiment based Multimedia Analysis
  • Multimodal Semantic and Sentiment based Multimedia Annotation
  • Multimodal Semantic-based Multimedia Retrieval and Recommendation
  • Multimodal Sentiment-based Multimedia Retrieval and Recommendation
  • Multimodal Filtering, Time-Sensitive and Real-time Search of Multimedia
  • Multimodal Multimedia Annotation Methodologies
  • Multimodal Sentiment-based Multimedia Retrieval and Annotation
  • Multimodal Context-based Multimedia Retrieval and Annotation
  • Multimodal Location-based Multimedia Retrieval and Annotation
  • Multimodal Relationship-based Multimedia Retrieval and Annotation
  • Multimodal Mobile-based Retrieval and Annotation of Big Multimedia
  • Multimodal Multimedia Data Modeling and Visualization
  • Multimodal Feature Extraction and Learning for Multimedia Data Representation
  • Multimodal Multimedia Data Embedding
  • Multimodal Medical Multimedia Information Retrieval
  • Multimodal Subjectivity Detection Extraction from Multimedia
  • Multimodal High-Level Semantic Features from Multimedia
  • Multimodal Information Fusion
  • Multimodal Affect Recognition
  • Multimodal Deep Learning in Multimedia and Multimodal Fusion
  • Multimodal Spatio-Temporal Multimedia Data Mining
  • Multimodal Multimedia based Massive Open Online Courses (MOOC)
  • Multimodal/Multisensor Integration and Analysis
  • Multimodal Affective and Perceptual Multimedia
  • Multimedia based Education


Important Dates


December 20, 2017 - Paper Submission Deadline
January 10, 2018 - Noti cation of Paper Acceptance to Authors
January 20, 2018 - Camera-ready Submission and Author Registration
April 10, 2018 - Workshop (tentative date)


Submission Instructions


The MR2AMC workshop 2018 follows the submission guidelines of the IEEE 1st International Conference on Multimedia Information Processing and Retrieval (MIPR). Papers reporting original and unpublished research results pertaining to the topics in the CFP are solicited. Full paper manuscripts must be in English of up to 6 pages (using the IEEE two-column template instructions). Submissions should include the title, author(s), affiliation(s), e-mail address(es), tel/fax numbers, abstract, and postal address(es) on the first page. The online submission site is: Submission Link (click here). If web submission is not possible, please contact the program co-chairs for alternate arrangements. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Paper submission implies the intent of at least one of the authors to register and present the paper, if accepted. For the detailed information on submission templates and instructions, check the MIPR's submission instruction page (click here).

Program


TBA

Organizers


We are very much thankful to Dr. Jing Jiang and Dr. Roger Zimmermann for their kind support and being agreed to become honorary co-chairs for the workshop. Their guidence will help workshop co-chairs to organize a very successful workshop.

Rajiv Ratn Shah
SMU & IIIT-Delhi

Co-chair

Debanjan Mahata
Bloomberg L.P., USA

Co-chair

Yifang Yin
NUS, Singapore

Co-chair

Soujanya Poria
NTU, Singapore

Co-chair

Jing Jiang
SMU, Singapore

Honorary Co-chair

Roger Zimmermann
NUS, Singapore

Honorary Co-chair

Program Committee

Amir Zadeh, Carnegie Mellon University, USA
Luming Zhang, Hefei University of Technology, China
Zhenguang Liu, Zhejiang University, China
Vivek Singh, Rutgers University, USA
Pradeep K. Atrey, University at Albany, USA
Mukesh Saini, Indian Institute of Technology Ropar, India
A V Subramanyam, Indraprastha Institute of Information Technology Delhi, India
Debashis Sen, Indian Institute of Technology Kharagpur, India
Animesh Prasad, National University of Singapore, Singapore
Muthu Kumar Chandrasekaran, National University of Singapore, Singapore
Omprakash Kaiwartya, Northumbria University, UK
Mukesh Prasad, University of Technology Sydney, Sydney
Kishaloy Halder, National University of Singapore, Singapore
Lahari Poddar, National University of Singapore, Singapore
Vivek Kumar Singh, Banaras Hindu University, India
Erik Cambria, Nanyang Technological University, Singapore
Yogesh Singh Rawat, University of Central Florida, USA
Hisham Al-Mubaid, University of Houston-Clear Lake, USA
Alexandra Balahur, University of Alicante, Spain
Catherine Baudin, eBay Research Labs, USA
Sergio Decherchi, Italian Institute of Technology, Italy
Rafael Del Hoyo, Aragon Institute of Technology, Spain
Paolo Gastaldo, University of Genoa, Italy
Tariq Durrani, University of Strathclyde, UK
Lila Ghemri, Texas Southern University, USA
Marco Grassi, Marche Polytechnic University, Italy
Amir Hussain, University of Stirling, UK
Raymond Lau, City University of Hong Kong, Hong Kong
Saif Mohammad, National Research Council, Canada
Samaneh Moghaddam, Simon Fraser University, Canada
Tao Chen, Johns Hopkins University, USA

Sponsors


We are very much thankful to the following sponsors of our MR2AMC workshop 2018.

Contacts


If you have any queries regarding the MR2AMC workshop 2018, drop an email to mr2amc.group@gmail.com. You may also contact any of the following workshop co-chairs to expedite the resonse.

Dr. Rajiv Ratn Shah, Assistant Professor, IIIT-Delhi, India, rajivratn AT iiitd.ac.in
Dr. Debanjan Mahata, Senior Machine Learning Engineer, Bloomberg L.P., USA, debanjanmahata85 AT gmail.com
Dr. Yifang Yin, Research Fellow, NUS, Singapore, idmyiny AT nus.edu.sg
Dr. Soujanya Poria, Senior Research Scientist, NTU, Singapore, sporia AT ntu.edu.sg

© 2018. Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) 2018, All Rights Reserved.