Content Gazette - July 2013 - 41

Call for Papers

IEEE Signal Processing Society

IEEE Journal of Selected Topics in Signal Processing

Special Issue on Perception Inspired Video Processing
Video services are demanding a significant and rapidly increasingly fraction of Internet traffic. The ability of
traditional approaches to video processing to cope with this data glut are being stretched to the limit, hence new
approaches to video processing are necessary to keep up with current and predicted exponential increases in the
creation and consumption of video. Perceptual and cognitive factors affect what users experience when they
watch video and an understanding of these factors and experiences offers opportunities to achieve the next big
leap in video processing. In particular, the knowledge accrued by more than a century of largely unexplored
findings form Vision Science research, along with recent breakthroughs in brain imaging, neural computational
modeling, and models of users' Quality of Experience (QoE), provides verdant ground for developing efficient,
perceptually optimized video processing paradigms.
We invite original and unpublished research contributions in the following areas:
Perceptual Video Coding: Conventional codecs are typically optimized to improve video signal reproduction at
the receiver measured in PSNR rather than reproducing visual experience perceived by humans. We encourage
papers on methods that exploit direct models of visual perception as well as cross-model interactions towards
better tradeoff between bit rates and perceived video quality
Quality Evaluation and Enhancement of Processed Video: Traditional objective metrics for video quality may
fail to deliver high performance when perceptual optimization is required for tasks such as video denoising,
deinterlacing, interpolation, reconstruction, restoration, or video coding. Papers are encouraged that create or
apply quality metrics and evaluation methods that take human viewers' quality of experience into consideration.
Perception-Driven Video Analysis: Humans process visual information efficiently by directing perceptual and
cognitive resources to accomplish specific tasks. Conscious and sub-conscious processing aids in tasks such as
saliency analysis, visual search, and recall. Papers are encouraged that exploit theories of visual perception, visual
memory, and high-level visual processing to improve video search and analysis.
Perception-Oriented Video Content Creation: Models of human visual perception offer important tools and
sound principles for improving the usability and quality of video processing tools used in such increasingly
popular and important applications as video content creation, retargeting and summarization. Papers on
perception-driven video content creation methods and systems are encouraged.
3D and Depth Augmented Video Perception and Processing: Given the development of new technologies for
sensors and devices that can capture high-resolution 3D or depth-enhanced videos, new approaches considering
principles of vision are called for in coding, processing and display. Papers that focus on novel formulations and
applications, rather than straightforward extensions of conventional 2D techniques, are welcome.
Perceptual Models for Video Processing: We invite papers on new psychophysical techniques and studies, and
computational models deriving from them that yield better understanding or modeling of important aspects of
video perception, such as spatiotemporal masking, spatiotemporal summation, motion processing, color
appearance models, and relationships between neural coding and the statistical properties of natural videos.
Prospective authors should visit http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for
information on paper submission. Manuscripts should be submitted at http://mc.manuscriptcentral.com/jstsp-ieee.
Manuscripts will be peer reviewed according to the standard IEEE process.
Manuscript Submission

First Review Due

Revised Manuscript Due

Second Review

Final Manuscript

31 Aug 2013
15 Nov 2013
15 Jan 2014
1 March 2014
1 April 2014
Guest Editors:
Al Bovik, The University of Texas at Austin, USA, bovik@ece.utexas.edu
Homer Chen, National Taiwan University, Taiwan, homer@cc.ee.ntu.edu.tw
Karen Egiazarian, Tampere University of Technology, Finland, karen.eguiazarian@tut.fi
Hari Kalva, Florida Atlantic University, USA, hari.kalva@fau.edu
Zhou Wang, University of Waterloo, Canada, Z.Wang@ece.uwaterloo.ca

www.signalprocessingsociety.org

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JULY 2013
http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ http://mc.manuscriptcentral.com/jstsp-ieee http://www.signalprocessingsociety.org
Table of Contents for the Digital Edition of Content Gazette - July 2013
