NEWS
Call for Participation
For print version of conference program overview click here
For print version of technical program click here
For map of conference venue click here
For useful information about Vienna click here
Distributed smart cameras combine techniques from computer vision, distributed processing, sensor networks, and embedded computing. Technological advances in the design of sensors and processors have facilitated the development of efficient embedded vision-based techniques. Design of scalable, network-based applications based on high-bandwidth data such as images requires a change of paradigm in the processing methodologies, thus creating opportunities for designing distributed and collaborative vision-based techniques. As a result, novel smart environment applications can be enabled that are interpretive, context aware, and user centric in nature.
The conference aims to provide an opportunity for researchers investigating the areas of smart camera architectures, algorithm design, embedded vision-based processing, and smart environments to exchange their most recent results. Offering insight into the potentials and challenges of distributed vision networks and an outlook of research opportunities ahead are also the objectives of the conference. Presentations accompanied by demonstrations and contributions based on industrial applications are also of interest.
ICDSC will feature a number of invited talks:
Half-day tutorials on the different aspects of distributed smart cameras will be included in the conference program:
The conference will feature a number of demonstrations by companies, research groups, and authors of accepted papers. For demo proposal information click here.
The conference proceedings will be published by the IEEE and will be available on IEEExplore.
Authors of a selective set of papers will be invited to submit extended versions of their work for a special issue of the IEEE Journal on Special Topics in Signal Processing. The invitation will be made based on the content and quality.
