MLCSA 2017

Recently, visual contents collected from surveillance cameras, mobile phones, personal photo collections, news footage, or medical images have been explosively increased. How to automatically/quantitatively analyze and understand the acquired visual contents is becoming one of the most active research areas in the vision community due to the scientifically challenging problems and its great benefits to real life applications. On the other hand, machine learning techniques especially the deep learning framework have manifested the surprising superiority for extracting structural and semantic visual representation in numerous computer vision applications such as image classification, object detection/localization, image segmentation, captioning, and so on. With machine learning and computing techniques, it is prospected to discover the inherent structure of the available unconditioned visual contents and to achieve more promising results for different applications based on visual semantic analysis.

This workshop calls for submissions on the emerging and challenging research topics on visual semantic analysis by exploiting advanced machine learning and computing techniques for wide applications such as surveillance, remote sensing, industrial defect detection, medical data analysis, and so on.

 

Topics of Interest

The topics of interest include, but are not limited to, the following:

  • Unsupervised and semi-supervised learning
  • Deep/transfer learning for image and multimedia analysis
  • Statistical modelling of image processing task
  • Feature extraction and matching
  • Activity/Pattern learning and recognition
  • Application of visual semantic analysis
  • Semantic analysis of surveillance image and video
  • Remote sensing image understanding
  • Medical data analysis

 

Important Dates

Workshop Paper Submission: August 15, 2017
Acceptance Notification: September 1, 2017
Camera-Ready: September 15, 2017

 

Paper Submission Process

Papers submitted to the MLCSA workshop must not have been previously published and must not be currently under consideration for publication elsewhere. We invite researchers and practitioners to submit papers to the MLCSA workshop according to the guidelines available on the conference website at http://ism2017.asia.edu.tw/.

 

Workshop Organizers:

YongQing Sun, NTT Communications, Japan
Xian-Hua Han, Yamaguchi University, Japan

 

Program Committee (Tentative)

Yen-Wei Chen, Ritsumeikan University, Japan
Wen-Huang Cheng, Academia Sinica, Taiwan
JunPing Deng, ShangHai Ocean University, China
Xin Fan, Dalian University of Technology, China
YanLi Ji, University of Electronic Science and Technology of China, China
YuGang Jiang, FuDan University, China
Yutaro Iwamoto, Ritsumeikan University, Japan
Xu Qian, Shandong University, China
BoXin Shi, National Institute of Advanced Industrial Science and Technology, Japan