[visionlist] IEEE JSTSP Special Issue on Perception Inspired Video Processing

[Hari Kalva]

Call for Papers

IEEE Signal Processing Society

IEEE Journal of Selected Topics in Signal Processing

Special Issue on Perception Inspired Video Processing

http://mlab.fau.edu/pivp

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We invite original and unpublished research contributions in the following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: 31 Aug 2013       
First Review Due: 15 Nov 2013
Revised Manuscript Due: 15 Jan 2014
Second Review: 1 March 2014
Final Manuscript: 1 April 2014

 

Guest Editors:

Al Bovik, The University of Texas at Austin, USA, bovik at ece.utexas.edu

Homer Chen, National Taiwan University, Taiwan, homer at cc.ee.ntu.edu.tw

Karen Egiazarian, Tampere University of Technology, Finland,
karen.eguiazarian at tut.fi 

Hari Kalva, Florida Atlantic University, USA, hari.kalva at fau.edu

Zhou Wang, University of Waterloo, Canada, Z.Wang at ece.uwaterloo.ca

 

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist/attachments/20130405/6db9715c/attachment.htm>