November 2012 Newsletter

Welcome to the November’s edition of the IEEE-TCMC (Technical
Committee on Multimedia Computing) monthly mailing.

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This month’s topics include:

CFPs: CVPR’13, IEEE Trans. on Multimedia SI

CVPR 2013 : 26th IEEE Conference on Computer Vision and Pattern Recognition


When:  Jun 23, 2013 – Jun 28, 2013
Where: Portland, Oregon, USA
Submission Deadline: Nov 15, 2012
Notification Due: Feb 24, 2013


Papers in the main technical program must describe high-quality, original
research. Topics of interest include all aspects of computer vision and
pattern recognition (applied to images and video) including, but not
limited to, the following areas:

Early and Biologically-inspired Vision
Color and Texture
Segmentation and Grouping
Computational Photography and Video
Motion and Tracking
Stereo and Structure from Motion
Image-Based Modeling
Illumination and Reflectance Modeling
Shape Representation and Matching
Object Detection, Recognition, and Categorization
Video Analysis and Event Recognition
Face and Gesture Analysis
Statistical Methods and Learning
Performance Evaluation
Medical Image Analysis
Image and Video Retrieval
Vision for Graphics
Vision for Robotics
Vision for Internet
Applications of Computer Vision

We suggest that authors submitting to CVPR for the first time look at
recent CVPR proceedings so as to judge the appropriateness of the
subject matter of their submissions.

Socio-Mobile Media Analysis and Retrieval Special Issue for
IEEE Trans. on Multimedia

Title: Socio-Mobile Media Analysis and Retrieval

Aims and Scope:
Over the past a few years, individual consumers are transformed into
active and connected prosumers, revolutionaries even, who create, share,
and comment on massive amounts of media artifacts all over the world
wide web 2.0. Online social platforms have become indispensable to
make sense of these massive amounts of media content. Meanwhile,
mobile devices are becoming ubiquitous and playing vital roles in
people’s daily life. While on the move, people are using their mobile
devices as personal concierges, exploring and managing their social

Today, social and mobile (or in short “socio-mobile”) access are the
two very characterizing trends of the Web and the Internet. While the
“mobile” facet emphasizes the context aspects, location-sensitive
personal interests, and interactions of individuals, the “social”
facet regards individuals as part of groups, therefore emphasizing
similarity and sharing between individuals. An increasingly interesting
subject of investigation is how these aspects can take advantage of
each other. In particular, how “mobile” can exploit social information,
and how “social” can exploit rich context and personalization from
mobile. The marriage between “social” and “mobile” will bring huge
opportunities yet challenges to multimedia community. This special
issue provides a unique opportunity for high-quality multidisciplinary
papers connecting both the social and mobile contexts to media sensemaking.
The aim is to bring out the state-of-the-art research in this
multidisciplinary area and discover directions for future research.

Topics of Interests:

This special issue is devoted to the publications of high quality
papers on technical developments and practical applications around
socio-mobile media analysis and retrieval. It will serve as a forum for
recent advances in the fields of social and mobile media content analysis,
indexing, mining, search, and emerging new applications, such as geo-media
systems, context-aware advertising, and personalized socio-mobile
experience. We invite original and high quality submissions addressing
all aspects of this. Relevant topics include, but are not limited to,
the following:

* Socio-mobile media content analysis
– Cross-modal socio-mobile media analysis
– Visual recognition on mobile devices
– Contextual models for socio-mobile media analysis
– Novel features for socio-mobile media analysis
– Event recognition in social media
– Efficient learning and mining algorithms for scalable social media
analysis o Cloud support for large scale socio-mobile media analysis

* Socio-mobile media retrieval
– Multimedia indexing and mining on mobile devices
– Social media interaction and visualization on mobile devices
– Location-based social media applications
– Mobile media computing for social networks

* Socio-mobile media applications
– Augmented reality for mobile media applications
– Social media retargeting, editing, and authoring on mobile devices
– Socio-mobile media recommendation
– Personalized social media experience in mobile devices
– New business models and service concepts for socio-mobile media

* Socio-mobile media benchmark construction and open-source software
– Benchmark database construction for socio-mobile media analysis
– Open-source software libraries for socio-mobile media analysis

Submission Guidelines:

Submissions should be submitted through the IEEE Trans. on Multimedia
journal web server ( Papers should
be formatted according to the guidelines for authors
During the submission, the authors should indicate that this is a
submission for the special issue on “Mobile Media Retrieval”
(i.e., select the appropriate special issue title under the category
“Manuscript Type”). All submissions will undergo a blind peer review
by three expert reviewers to ensure a high standard of quality.
Referees will consider originality, significance, technical soundness,
clarity of exposition, and relevance to the special issue topics above.

??Important Dates:
* Paper Submission: Feb. 1, 2013
* First Notification: June 15, 2013
* Revised Manuscript: Aug. 1, 2013
* Notification of Acceptance: Sept. 15, 2013
* Final Manuscript Due: Oct. 15, 2013
* Tentative Publication: First Quarter of 2014

Guest Editors:

* Alberto Del Bimbo, University degli Studi Firenze, Italy
* K. Selcuk Candan, Arizona State University, USA
* Yu-Gang Jiang, Fudan University, China
* Jiebo Luo, University of Rochester, USA
* Tao Mei, Microsoft Research Asia, China
* Nicu Sebe, University of Trento, Italy
* Heng Tao Shen, The University of Queensland, Australia
* Cees G. M. Snoek, University of Amsterdam, the Netherlands
* Rong Yan, Facebook, USA