APSIPA ASC 2009

From Openresearch
Revision as of 14:29, 30 March 2009 by 76.107.15.234 (talk) (Special Session on Low-Level Color Image Processing)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
APSIPA ASC 2009
Special Session on Low-Level Color Image Processing
Subevent of APSIPA Annual Summit and Conference
Dates 2009/10/04 (iCal) - 2009/10/07
Homepage: http://www.gcoe.ist.hokudai.ac.jp/apsipa2009/index.php
Location
Location: Sapporo, Japan
Loading map...

Important dates
Submissions: 2009/04/30
Table of Contents



Call for Papers: Special Session on Low-Level Color Image Processing held in conjunction with the 2009 APSIPA Annual Summit and Conference (APSIPA ASC 2009) October 4-7, 2009, Sapporo, Japan

http://www.lsus.edu/faculty/~ecelebi/CFP_APSIPA_ASC_2009_Color.pdf

INTRODUCTION

Color perception plays an important role in object recognition and scene understanding both for humans and intelligent vision systems. Recent advances in digital color imaging and computer hardware technology have led to an explosion in the use of color images in a variety of applications including medical imaging, content-based image retrieval, biometrics, watermarking, digital inpainting, remote sensing, digital multimedia, visual quality inspection, among many others. As a result, automated processing and analysis of color images has become an active area of research, which is witnessed by the large number of publications during the past two decades. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for single channel images are often not directly applicable to multichannel images.

The goal of this special session is to bring together researchers and practitioners working in the area of Color Image Processing. We are soliciting original contributions, which address a wide range of theoretical and practical issues related to the early stages of the Color Image Processing pipeline including, but not limited to:

  • Color Image Coding and Compression
  • Color Image Quantization and Halftoning
  • Color Image Filtering and Enhancement
  • Color Morphology
  • Color Edge Detection
  • Color Image Segmentation
  • Digital Camera Image Processing (Demosaicking, Zooming, Postprocessing, etc.)
  • Multispectral Image Processing
  • Applications and Future Trends

PAPER SUBMISSION

Prospective authors are invited to submit either long papers up to 10 pages in length, or short papers up to 4 pages in length. The long papers will be for the single-track oral presentation, whereas the short ones will be mostly for poster presentation. In submitting a manuscript to APSIPA ASC, the authors acknowledge that no paper substantially similar in content has been or will be submitted to another conference during the review period. Paper submissions can be made at https://splab.cs.kitami-it.ac.jp/apsipa2009/user/action.php

IMPORTANT DATES

Submission deadline: April 30, 2009 Notification of acceptance: July 1, 2009 Camera-ready deadline: August 1, 2009

SPECIAL SESSION ORGANIZERS

M. Emre Celebi Dept of Computer Science, Louisiana State University, Shreveport, Louisiana, USA ecelebi@lsus.edu

Bogdan Smolka Dept of Automatic Control, Silesian University of Technology, Gliwice, Poland bogdan.smolka@polsl.pl

Konstantinos N. Plataniotis Dept of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada kostas@comm.utoronto.ca

Takahiko Horiuchi Division of Information Sciences, Chiba University, Chiba, Japan horiuchi@faculty.chiba-u.jp

Facts about "APSIPA ASC 2009"
AcronymAPSIPA ASC 2009 +
End dateOctober 7, 2009 +
Event typeWorkshop +
Has coordinates43° 3' 43", 141° 21' 15"Latitude: 43.061936111111
Longitude: 141.35429166667
+
Has location citySapporo +
Has location countryCategory:Japan +
Homepagehttp://www.gcoe.ist.hokudai.ac.jp/apsipa2009/index.php +
IsAEvent +
Start dateOctober 4, 2009 +
Subevent ofAPSIPA Annual Summit and Conference +
Submission deadlineApril 30, 2009 +
TitleSpecial Session on Low-Level Color Image Processing +