Computational Image Sensors and Smart Camera Hardware Call for Papers

Special Issue on Computational Image Sensors and Smart Camera Hardware

International Journal of Circuit Theory and Applications - Impact
Factor: 1.571, ISI Journal Citation Reports © Ranking: 2016: 144/260
(Electrical & Electronic Engineering) Guest Editors: Jorge
Fernández-Berni, Ricardo Carmona-Galán (IMSE-CNM, Universidad de
Sevilla-CSIC, Spain), Gilles Sicard, Antoine Dupret (CEA-LETI, France)
Aims and Scope Embedded computer vision is becoming a disruptive
technological component for key market drivers of the semiconductor
industry like smartphones, the Internet of Things or automotive. The
recent incorporation of advanced artificial intelligence techniques
into robust and precise inference schemes is underpinning this
disruptiveness, along with the increase of on-chip computational power
and the development of tools for rapid prototyping and
experimentation. As a result, visual sensing is being embedded in all
kinds of products and services, with different degrees of scene
understanding. These products either did not exist before or are
ousting existing ones. In this scenario, vision-enabled systems are
expected to have ever-growing need for lower power consumption, lower
cost, smaller form factor, higher image resolution and higher
throughput. These burdensome requirements demand new approaches when
it comes to dealing with the massive flow of information associated
with the visual stimulus. In particular, early vision stands out as
the critical stage where raw pixels are transformed into useful
features for the targeted task. In order to effectively cope with this
stage, front-end hardware resources play a major role. The
incorporation of advanced sensing and computational capabilities in
image sensors allows exploiting parallelism and distributed memory
from the very beginning of the signal processing chain. Sensing
structures can be designed to produce multiple sensorial modalities,
e.g. 2D/depth. Circuit blocks can be tuned to adapt the response of
the sensor to distinct specifications of the subsequent processing
stage, where parallelization and memory management will be also
critical. An adequate dataflow organization in FPGAs, GPUs, DSPs
etc. is of utmost importance in order to preserve the goodness of
previous performance boosters and further increase the throughput. All
in all, this special issue focuses on those aspects of embedded vision
systems having an impact on their degree of integrated
intelligence. Relevant topics include but are not limited to:

*       VLSI implementation of smart image sensors

*       Vertical integration of vision chips

*       2D/3D information extraction at sensor level

*       In-sensor feature learning and extraction

*       Exploitation of emerging devices for visual sensing-processing

*       Hardware accelerators of vision algorithms

*       Efficient dataflow and memory management in vision systems

*       Parallel processing architectures for smart cameras

*       Architectural performance evaluation

*       Hardware-software co-design for embedded computer vision

*       Lightweight implementation of deep learning


Authors from academia and industry working in the above or closely
related research areas are requested to submit original manuscripts
that have not been published previously and are not currently under
review in other journals or conferences. All manuscripts must be
electronically submitted through IJCTA Manuscript Central Website, Indicate that you are
submitting your article to the special issue on "Computational
Image Sensors and Smart Camera Hardware". Please, visit IJCTA
website for detailed author guidelines:


Paper submission:                    September 30, 2017

Publication date:                    September, 2018