Mobile Vision

The Fourth IEEE Workshop on Mobile Vision

in conjunction with CVPR2014


[Mission][Important Dates][Call for Papers][Regular Papers][Demo Papers][Best Papers][Past Events]


  • Workshop program can be found [here].

  • Microsoft Research is sponsoring the the Best Paper Award for the Mobile Vision Workshop

Best Paper and Demo Awards:

  • Johan Hedborg, Andreas Robinson, and Michael Felsberg, "Robust Three-view Triangulation Done Fast," Best Paper Awards jointly Sponsorted by Microsoft Research and NVIDIA.
  • Stefano Mattoccia, "A Compact 3D Camera Suited for Mobile and Embedded Vision Applications," Best Demo Award sponsored by NVIDIA.


Cameras are ubiquitous due to the proliferation of mobile devices. Most of these cameras are embedded in networked mobile computing devices with ever increasing computational power, providing infrastructure to develop smart environments that support a wide range of new functionality. Emerging applications of computer vision have great potential for innovation in these areas. The focus of this workshop is on exploring the new opportunities and challenges of computer vision technologies in mobile and smart environments. The workshop provides a forum to researchers to identify critical problems and propose effective novel solutions in this emerging area.

Important Dates:

  • Paper submission deadline:  03/31/2014 (Click here to submit)
  • Notification of acceptance:  05/07/2014
  • Final camera ready due:       05/14/2014
  • Workshop date:                   06/23/2014

Call for Papers:

Computer vision is essential for providing rich interactive experiences to users in mobile and smart environments. In particular, visual recognition, 3D modeling, tracking, human computer interaction, interactive vision and visualization, and multimodal integration are some of the key technologies for progress in the area. Submissions in all areas of computer vision and pattern recognition in mobile and smart environment are welcome. Key areas include, but are not limited to:

  • Mobile mixed reality
  • Mobile and internet vision
  • Mobile video games
  • Mobile perceptual interfaces
  • Multimodal mobile vision system
  • Mobile computational photography
  • Mobile visual information retrieval and search
  • Mobile visual computing for social networks
  • Multiple-view analysis and 3D models
  • Computational methods for multiple sensor fusion
  • Interactive image/video parsing/annotation/analysis
  • Human computer interaction
  • Mobile audio-visual personal identification
  • Mobile vision for visually impaired
  • Other Mobile-related applications

Submission and Review Policy for Regular Papers:

In submitting a manuscript to this workshop, the authors acknowledge that no paper substantially similar in content is under review at another conference or workshop before or during the review period. Submission and review process should follow the standard CVPR 2014 main conference submissions. Please refer to the following files on CVPR 2013 main conference site for detailed formatting instructions:

  • LaTeX/Word Templates (tar): cvpr2014AuthorKit.tgz
  • LaTeX/Word Templates (zip):
  • A complete paper should be submitted using the above templates, which are blind-submission review-formatted templates. The page limit is 6 pages, with the option of purchasing 2 pages. Please follow the paper submission web site at to submit your manuscript to the Regular Paper Track. Each paper will be reviewed by at least three reviewers from the program committee.

    Submission and Review Policy for Demo Papers:

    We solicit demo submissions. Please submit your demo proposal through to the Demo Paper Track. The proposal should be no more than 2 pages to describe your demo system. Each demo paper will be reviewed by at least three reviewers from the program committee. We also plan to have the demo papers to be included in the conference proceedings. For questions regarding demo submission, please email Dr. Gang Hua at

    Past Events:



    Computer Vision FoundationIEEE Computer SocietyMicrosoft Research

    Site Meter