ACM ICMR 2018: Call for special session papers


Large-Scale 3D Multimedia Analysis and Applications

With the rapid advancement of networks, graphics hardware, and computing techniques, the 3D information has been widely applied in various domains, such as virtual reality, 3D graphics, medical industry, and architecture design. The proliferation of such applications has produced explosively growing 3D multimedia data, which leads to the requirement for large-scale 3D data analysis. The traditional 3D feature representation and learning algorithms may not work well for large-scale analysis, such as 3D retrieval and recognition, since the computational cost in such cases is much larger. How to design efficient and effective 3D feature representation and learning techniques to deal with big data is desirable and meaningful. In recent years, the view-based 3D analysis has attracted broad research interest, due to its flexibility in representing 3D objects by multiple views, without the requirement for the complex 3D model information.
      Although promising results have been achieved by existing view-based paradigm, there still remain some important problems unsolved. For example, how to well employ the popular deep learning methods into 3D analysis is still not clear, extracting discriminative 3D features is also not well investigated, and how to perform 3D hashing for efficient retrieval is also an open session. This special session will focus on the most recent progress on large-scale 3D multimedia analysis and applications, such as 3D representation, retrieval, recognition, classification, detection, and tracking, etc. The primary objective of this special session fosters focused attention on the latest research progress in this interesting area.
      The ACM ICMR 2018 special session "Large-Scale 3D Multimedia Analysis and Applications" is calling for papers (8 pages) presenting the most recent progress on 3D multimedia analysis and applications. It targets a mixed audience of researchers and product developers from several communities, i.e., computer vision, multimedia, machine learning, etc. The topics of interest include, but are not limited to: 
  • 3D representation 
    • 3D data acquisition
    • 3D feature extraction
    • Multi-view registration and calibration
    • 3D data compression
    • 3D reconstruction
  • Large-scale 3D analysis (retrieval, recognition, classification, detection, and trackingetc.)
    • View-based 3D analysis
    • Multi-instance learning for 3D analysis
    • 3D hashing
    • Deep learning for 3D data    
    • 3D shape analysis and morphology  
    • Object tracking with RGB-D sensors     
    • 3D analysis on mobile devices                     
    • 3D detection for autonomous driving
    • Point cloud for 3D analysis     
  • 3D applications
    • Medical applications, such as telemedicine
    • Industrial design, such as computer-aided manufacturing
    • Virtual reality, such as human-computer interaction and 3D synthesis
Important Dates
  • Submission deadline: February 17, 2018 [extended to: 25 February 2018 23:59 PST]
  • Notification of acceptance: March 30, 2018
  • Camera-ready deadline: April 27, 2018
  • Conference date: June 11-14, 2018
Submission Instructions
Authors should prepare their manuscript according to the Guide for Authors of ACM ICMR available at Guide for authors and submit their papers at the submission page. Please note that each full paper should not be longer than 8 pages.

Abstract and Keywords
The abstract and the keywords form the primary source for assigning papers to reviewers. So make sure that they form a concise and complete summary of your paper with sufficient information to let someone who doesn’t read the full paper know what it is about.

Single-Blind Review
ACM ICMR will use a single-blind review process for special session paper selection. Authors should provide author names and affiliations in their manuscript.

Organizers
Comments