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Journal of Electronic Imaging Special Section Calls for Papers

To submit manuscripts for consideration in a Special Section, please prepare the manuscript according to the journal guidelines and use the Online Submission System.Leaving siteA cover letter indicating that the submission is intended for this special section should be included with the paper. Papers will be peer‐reviewed in accordance with the journal's established policies and procedures. Authors who pay the voluntary page charges will receive the benefit of open access.

View the list of special sections that have already been published on the SPIE Digital Library. 

CALLS FOR PAPERS:

Retinex at 50

Video Analytics for Public Safety

Superpixels for Image Processing and Computer Vision


Retinex

May/June 2017

Retinex at 50

Guest Editors:

Alessandro Rizzi
Università degli Studi di Milano
Dipartimento di Informatica
Via Comelico 39/41
20135 Milan, Italy
E-mail: alessandro.rizzi@unimi.it

John J. McCann
McCann Imaging
30 Spy Pond Parkway
Arlington, Massachusetts 02474, United States
E-mail: mccanns@tiac.net

Marcelo Bertalmío
Universitat Pompeu Fabra
Information and Communication Technologies
Carrer de Roc Boronat 138
08018 Barcelona, Spain
E-mail: marcelo.bertalmio@upf.edu

Gabriele Gianini
Universita degli Studi di Milano, Polo di Crema
Dipartimento di Informatica
Via Bramante 65
26013 Crema CR, Italy
E-mail: gabriele.gianini@unimi.it

Call for Papers: We are pleased to inform you about the upcoming Special Section on "Retinex at 50," which will be published in the Journal of Electronic Imaging.

Retinex is the famous theory proposed by Edwin Land and John McCann to model human color vision. The original Retinex algorithm, based on color perception experiments, aimed at building a computational model of color sensation that proved to be highly influential in the broad vision science community, from psychophysics to neuroscience. Remarkably, the Retinex algorithm and variants of it have also shown great success on a number of applied problems in the context of image processing and computer vision, such as color constancy, contrast enhancement, and tone mapping of high dynamic range images, to name just a few.

This special section represents the natural extension of a dedicated workshop that took place at Electronic Imaging 2016 called "Retinex at 50," commemorating more than 50 years of fruitful research, and now the present call is addressed to all the scholars who want to publish their recent works on the topic. The aim is that the resulting celebrative collection of papers provides the reader with a comprehensive look at the Retinex theory of color vision, collecting its recent and revisited formulations and applications.

All Retinex-related submissions are encouraged, and this special section is open to everyone. We intend the scope of this special section to be as broad as Retinex itself: from vision models to methods for image enhancement; from predicting optical illusions to performing on-camera image processing; from computational neuroscience models to color correction applications for computer vision.

Closed for submissions.

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security camera

September/October 2017

Video Analytics for Public Safety

Guest Editors:

Robert Loce
PARC, A Xerox Company
Webster, New York, United States
E-mail: Robert.loce@parc.com

Edward J. Delp
Purdue University
West Lafayette, Indiana, United States
E-mail: ace@ecn.purdue.edu

Sharath Pankanti
IBM Thomas J. Watson Research Center
Yorktown Heights, New York, United States
E-mail: sharat@us.ibm.com

Call for Papers: The world is experiencing a surge of video aiming to address public safety needs and concerns. Automated video understanding can enhance surveillance/monitoring systems beyond what is possible for human operators alone. Camera networks are being developed to maintain long-term surveillance on large numbers of video streams for various applications with minimal or no manual intervention. Automated systems can coordinate multiple cameras and provide "synopsis" views of activities that can be used to predict potential events in advance, or analyze them after. Wearable body cams and vehicle cams are coming into the mainstream and are presenting new challenges to automated analysis due to their dynamic nature. Robust real-time behavior and action recognition methods will enhance the timely responsiveness of first responders and security personnel. This increased surveillance capability must be seen in the light of the Freedom of Information Act (FOIA) and tempered by the public's concern for privacy.

This special section brings together the problems and approaches being taken to address a wide range of public safety needs. Topics are not limited to and may include:

  • Video analytics challenges as seen by law enforcement, firefighters, and first responders
  • Police body cameras
    • Image quality
    • Compression
    • Data management
    • Extraction of information
  • Imaging from police vehicles and roadside cameras
    • License plate recognition
    • Vehicle identification
    • Traffic violations: red light, speeding, reckless driving
  • Video redaction for the Freedom of Information Act (FOIA)
    • Automated methods
    • Person de-identification
    • Redaction metrics
  • Behavior recognition
    • Crimes against individuals - mugging, drug deals
    • Understanding crowd dynamics
    • Crowd/queue management
    • Locating lost children in a crowd
    • Suspicious microexpressions
    • Nervousness detection
  • Firefighting
    • Scene understanding indoors and outdoors
    • Locating firefighters and other persons
  • Surveillance
    • Safety on railway and subway lines
    • Ad hoc camera networks
    • Standardized infrastructure
    • Person identification
    • Identification of collaborative groups, clustered or dispersed
    • Accident prevention
    • Left packages
    • Trespassing
  • Crime scene forensics
  • Automation of Transportation Security Administration (TSA) evaluation
    • Hands kept in pockets
    • Clothing out of sync with weather, location, or suspect's appearance (e.g., loose clothing to hide bulges)
    • Pats upper body as if checking something
    • Walks deliberately, does not run
    • Displays excessive sweating, mumbling, fidgeting, or conversely, being unusually calm and detached
    • Eyes are focused, appears to be in a trance
    • Exhibits unnatural gait and posture.

Submitted manuscripts should follow the guidelines found at http://spie.org/JEIAuthorInfo. All papers will be peer reviewed.

Manuscripts due 5 January 2017.

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Superpixels

Superpixels for Image Processing and Computer Vision

Guest Editors:

Olivier Lézoray
University of Caen Normandy, France
E-mail: olivier.lezoray@unicaen.fr

Cyril Meurie
The French Institute of Science and Technology for Transport, Development and Networks, France
E-mail: cyril.meurie@ifsttar.fr

M. Emre Celebi
University of Central Arkansas, United States
E-mail: ecelebi@uca.edu

Call for Papers: Since the advent of digital images, pixels have served as the base elements of image-processing tasks. However, pixels are only the result of the discrete acquisition and representation of images, and they do not represent any semantic entities. To address this issue, superpixel segmentation has been proposed, the aim being to over-segment the image by grouping pixels that share similar properties. This provides a grouping of pixels into perceptually meaningful entities that are more consistent with the human visual system and that can serve as primitives for further computation.

Superpixels have become a key building block for many algorithms in image processing and computer vision such as image segmentation, image parsing, semantic labeling and object classification, and detection and tracking. Indeed, there are many benefits of working at the superpixel level instead of the classical pixel level. First, superpixels carry more information than pixels since they better adhere to the natural image boundaries than square patches. Second, superpixels have a perceptual meaning since pixels belonging to a given superpixel share similar visual properties. Third, superpixels provide a convenient and compact representation of images that can be very useful for computationally demanding problems, as a superpixel graph has much few nodes than the classical grid graph.

The aim of the proposed special issue is to present some of the cutting-edge works currently being done on and with superpixels and to reveal the challenges that still lie ahead. We are soliciting original contributions that address a wide range of theoretical and practical issues related to superpixels including, but not limited to:

  • Superpixel generation algorithms
  • Superpixel quality evaluation
  • Superpixels for data beyond the usual pixel grid such as meshes or point clouds
  • Superpixel-based segmentation
  • Superpixel-based features
  • Superpixel-based classification
  • Superpixel-based applications
  • Graph algorithms on superpixel graphs.

Manuscripts should conform to the author guidelines of JEI. Prospective authors should submit an electronic copy of their manuscript through the JEI online submission system at https://jei.msubmit.net. The special section should be mentioned in the cover letter. Each manuscript will be reviewed by at least two independent reviewers.

Manuscripts due 1 April 2017.

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Published Special Sections:

Perceptually Driven Visual Information Analysis (November/December 2016)
Guest Editors: Mohamed-Chaker Larabi, Sanghoon Lee, Mohammed El Hassouni, Frédéric Morain-Nicolier, Rachid Jennane

Color in Texture and Material Recognition (November/December 2016)
Guest Editors: Raimondo Schettini, Joost van de Weijer, Claudio Cusano, and Paolo Napoletano

Intelligent Surveillance for Transport Systems (September/October 2016)
Guest Editors: Louahdi Khoudour, Yassine Ruichek, ans Sergio Velastin

Advances on Distributed Smart Cameras (July/September 2016)
Guest Editors: Jorge Fernández-Berni, François Berry, and Christian Micheloni

Quality Control by Artificial Vision: Nonconventional Imaging Systems (November-December 2015)
Guest Editors: Fabrice Mériaudeau and Aamir Saeed Malik

Ultrawide Context- and Content-Aware Imaging, Part II (November-December 2015)
Guest Editors: François Brémond, Ljiljana Platiša, and Sebastiano Battiato

Ultrawide Context- and Content-Aware Imaging, Part I (September-October 2015)
Guest Editors: François Brémond, Ljiljana Platiša, and Sebastiano Battiato

Image/Video Quality and System Performance (November-December 2014)
Guest Editors: Mohamed-Chaker Larabi, Sophie Triantaphilliadou, and Andrew B. Watson

Stereoscopic Displays and Applications (January-February 2014)
Guest Editors: Nicolas Holliman and Takashi Kawai

Video Surveillance and Transportation Imaging Applications (Oct-Dec 2013)
Guest Editors: Robert Loce and Eli Saber

Compressive Sensing for Imaging (April-June 2013)
Guest Editors: Fauzia Ahmad, Gonzalo R. Arce, Ram M. Narayanan, Dimitris A. Pados

Mobile Computational Photography (January-March 2013)
Guest Editors: Todor Georgiev, Andrew Lumsdaine, Sergio Goma

Quality Control by Artificial Vision (April-June 2012)
Guest Editors: Jean-Charles Pinoli, Karen Panetta, and Seiji Hata

Stereoscopic Displays and Applications (January-March 2012)
Guest Editors: Neil Dodgson and Nick Holliman

Quality Control by Artificial Vision (September-December 2010)
Guest Editors: Edmund Y. Lam, Shaun S. Gleason, and Kurt S. Niel

Digital Photography (April-June 2010)
Guest Editors: Peter B. Catrysse and Sabine Süsstrunk

Image Quality (January-March 2010)
Guest Editors: Susan Farnand and Frans Gaykema

Quality Control by Artificial Vision (July-September 2008)
Guest Editors: Hamed Sari-Sarraf, David Fofi, and Nelson H. C. Yung

Biometrics: Advances in Security, Usability, and Interoperability (January-March 2008)
Guest Editors: Claus Vielhauer, Berrin Yanikoğlu, Sonia Garcia-Salicetti, Richard M. Guest, and Stephen J. Elliott

Security, Steganography, and Watermarking of Multimedia Contents (October-December 2006)
Guest Editors: Jana Dittmann and Edward J. Delp

Color Imaging: Processing, Hard Copy, and Applications (October-December 2006)
Guest Editors: Reiner Eschbach and Gabriel Marcu

Quality Control by Artificial Vision (July-September 2004)
Guest Editors: Kenneth W. Tobin, Fabrice Meriaudeau, and Luciano da Fontoura Costa

Retinex at 40 (January-March 2004)
Guest Editors: John J. McCann

Imaging through Scattering Media (October-December 2003)
Guest Editors: David A. Boas, Charles A. Bouman, and Kevin J. Webb

Model-Based Medical Image Processing and Analysis (January-March 2003)
Guest Editors: James C. Gee; Mostafa Analoui

Internet Imaging (October-December 2002)
Guest Editors: Giordano Beretta and Raimondo Schettini

Storage, Processing, and Retrieval of Digital Media (October-December 2001)
Guest Editors: Minerva M. Yeung, Chung-Sheng Li, Rainer Lienhart,and Boon-Lock Yeo

Process Imaging for Automatic Control (July-September 2001)
Guest Editors: David M. Scott and Hugh McCann

Statistical Issues in Psychometric Assessment of Image Quality (April-June 2001)
Guest Editors: John C. Handley and John Bunge

Human Vision and Electronic Imaging (January-March 2001)
Guest Editors: Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Jan P. Allebach


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