Call for Papers

International Workshop on Socio-Mobile Media Computing

(http://semantic.rnet.missouri.edu/icme13/home.html )

In conjunction with IEEE ICME 2013 (http://www.icme2013.org/ )



Multimedia tools and applications are flourishing faster than ever, as mobile and social media platforms became ubiquitous in the current decade. The rise of tablets and smart phones has enabled users across all age to easily create, share, and consume multimedia contents. At the same time, people are increasingly dependent on social and cloud services for obtaining information while they are on the move. While it seems like a straightforward correlation of supply and demand to sustain the rapidly growing multimedia data, there are many challenges and limitations that prohibit the full realization of its potentials. Mobility and social requirements for emerging applications, such as health, transport, intelligent environment, and adaptive community, drive the need to innovate the solutions for semantic extraction, indexing, summarization, and delivery of context-aware services.



Social Multimedia refers to multimedia content generated from social networks and is considerably rich in meta-data information, including location of content capture, camera properties, user profile information from the social network, and textual descriptors (e.g., hash tags on Twitter). Such meta-data provides a natural context to multimedia, shrinking the semantic gap between the information that one can extract from visual data and the interpretation that the same data holds for a user; thus enabling improved content analysis. A Social Multimedia Signal presumes human users as sensors and contains the spatio-temporal activity pattern of users with respect to some multimedia content. However, human interactions are known to be extremely diverse and often inconsistent, tailored at deep cognitive levels. Therefore, social multimedia data is inherently noisy - every social interaction/activity cannot be deemed worthy of bearing adequate information to contextualize the related media. Sampling, estimation and analysis of social multimedia signals could provide valuable information about spread of shared multimedia, communities that have affinity to some category of multimedia and temporal evolution of the social network.



This workshop aims to provide a unique, timely, and engaging venue that attempts to bring together researchers and professionals from worldwide industry, academia, and government for showcasing and discussing the whole spectrum of technological solutions, interaction design, and emerging applications and challenges in socio-mobile multimedia.



Topics of interest include, but are not limited to:



Theme 1: User-driven Mobile socio-media applications and services that inspire new algorithms and interaction design frameworks, revolutionizing the traditional multimedia systems. While many mobile multimedia solutions seem to be directed from the technological perspectives, we need a stronger balance of attention on the user interaction issues as the emerging platforms create new ways for people to do activities. For example, mobile sensors allow multimodal and natural inputs/outputs that are augmented by location awareness.

Hot topics in the opportunities and challenges of mobile socio-media applications/services, from user and/or technology perspectives.
Effective and streamlined retrieval models, query processing, and search interfaces for large-scale mobile multimedia applications.
Cloud support for large scale socio-mobile media analysis
Summarisation, content representation, and visualisation of multimedia contents for pervasive devices.
Emerging architecture and systems to enable natural, seamless, smooth, and reliable multimedia delivery over wireless networks, including next generation streaming capabilities and new devices for inputs/outputs.
Interaction design and user modelling for multimedia usage in mobility and social settings.
Innovative applications in mobile social multimedia, including the design and evaluation of the systems. For example, user-centered quality delivery of streaming mobile videos


Theme 2: Social multimedia signal processing to understand multimedia content/context better, and study the spread of shared multimedia, its popularity and lifetime across disparate domains on the Web (photos, videos, tweets etc.). A related aim is to allow researchers from different backgrounds to use social multimedia signals in light of their own fields - social scientists can study online sharing behavior, network science researchers can study information dynamics of the social network by analyzing the signal it generates, and multimedia researchers can diminish the challenge of comprehending visual context in multimedia by utilizing the social context.

· Social Multimedia Signal Detection: what social activity traces can be considered useful signals for providing context to multimedia.

· Social Multimedia Signal Sampling: theoretical and empirical studies of optimal sampling strategies for social multimedia signals.

· Social Multimedia Signal Estimation: quantifying an underlying phenomenon by measuring the temporal variation of the signal strength. For example, variation of trends signal in NY might provide information about the attention shifts/volatility of user groups in NY.

· Cross-Domain Social Multimedia Signal Penetration: Does one type of social multimedia signal have a causal impact on another type when they exist in cross domains on the Web?

· Social Multimedia Signal Encoding: Are any key properties of the social network graph encoded in the social multimedia signal?

· Network Evolution Analysis using Social Multimedia Signals: Studying the temporal social multimedia signals might provide us with information about how the underlying social network is evolving with time.

· Applications of social multimedia signals in multimedia information retrieval, communications, interactive visualization and multimedia modeling.



Submission Procedures and Guidelines:
Authors are invited to submit a full paper (two column format, 6 pages) according to the guidelines available on the main conference website. The review will be double blind and at least three reviewers are required. Only electronic submissions will be accepted. Accepted papers must be registered and presented; otherwise they will not be included in the IEEE Xplore.



Important Dates:
Full paper (6 pages) submission: March 7, 2013

Notification of acceptance: April 15, 2013

Camera ready papers due: April 30, 2013

Workshop date: July 15 or 19, 2013



Workshop Co-Chairs
Suman Deb Roy, University of Missouri, USA

Dian Tjondronegoro, Queensland University of Technology, Australia

Wenjun (Kevin) Zeng, University of Missouri, USA

Tao Mei, Microsoft Research Asia, China

Jiebo Luo, University of Rochester, USA



Technical Program Committee (partial list)

· Noboru Babaguchi - Osaka University, Japan

· Liangliang Cao - IBM T J Watson Research Center, USA

· Marcus Foth - Queensland University of Technology, Australia

· Steven Hoi - Nanyang Technological University, Singapore

· Winston Hsu - National Taiwan University, Taiwan

· Benoit Huet - Eurecom, France

· Wolfgang Hurst - Universiteit Utrecht, Netherland

· Rongrong Ji - Columbia University

· Dhiraj Joshi - Kodak Research Labs, USA

· Stephan Kopf - University of Mannheim, Germany

· Chong-Wah Ngo - City University of Hongkong, China

· Zhi Wang - Tsinghua University, China

· Changsheng Xu - Chinese Academy of Sciences, China

· Yang Yang - University of Queensland, Australia

· Xiao-Ping Zhang - Ryerson University, Canada

· Yu Zheng - Microsoft Research Asia, China