Multimodal Representation, Retrieval, and Analysis of Multimedia Content in Social Media MR2AMC

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活动简介

MR2AMC is a series of workshops on Multimodal Representation, Retrieval, and Analysis of Multimedia Content organized by the MIDAS lab in IIIT-Delhi. MIDAS stands for Multimodal Digital Media Analysis Lab and it consists a group of researchers who study, analyze, and build different multimedia systems for society leveraging multimodal information. The first iteration of the workshop held in conjunction with the IEEE MIPR conference. The second iteration of the workshop will be held in conjunction with the 20th IEEE International Conference on Multimedia in Taichung, Taiwan. This year's workshop theme is social media. Thus, MR2AMC aims to provide an international forum for researchers in the field of multimedia data processing, analysis, search, mining, and management leveraging multimodal information in social media. 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.

组委会

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

Organizing committee

Rajiv Ratn Shah (IIIT-Delhi, India)
Debanjan Mahata (Bloomberg, USA)
Yifang Yin (NUS, Singapore)
Soujanya Poria (NTU, Singapore)
A V Subramanaym (IIIT-Delhi, India)
Roger Zimmermann (NUS, Singapore)

征稿信息

重要日期

2018-09-30

摘要截稿日期

2018-09-30

初稿截稿日期

征稿范围

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

作者指南

All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:

The MR2AMC workshop 2018 follows the submission guidelines of the 20th IEEE International Symposium on Multimedia(ISM 2018). Papers reporting original and unpublished research results pertaining to the topics in the CFP are solicited. There are two different submission categories: REGULAR and SHORT whose lengths are expected to be 8 and 4 pages long (using theIEEE two-column template instructions), respectively. 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).