The workshop brings together the community working on a specific image
type of Big Data. Image Big Data have characteristics that can be
leveraged in tackling the overarching challenges of Big Data. The
workshop would be of interest to all scientific areas that conduct their
domain-specific science by (a) acquiring images via measurement
instruments that form raster data (e.g., microscopes, video cameras,
scanners or telescopes), and (b) analyzing large volumes of image data
to discover spatial, temporal and spectral relationships that require
large global and precise local information. These scientific areas
include cell biology, medical imaging, material science, chemistry,
forensic, digital humanities, social science, Earth science, astronomy
and physics just to name a few. The workshop focus is also aligned with
the national priorities of several federal agencies presented in
a white house release from March 2012.
- Storage and representation of images with large spatial, temporal, and spectral dimensions to enable scientific explorations.
- Interactive visualization, image sampling and information extraction from large image volumes to support decision making and collaborative scientific discoveries
- Seamless transitions of computations from desktop to cluster/cloud computing environments to speed up learning and discoveries.
- Orchestration of on-demand computational measurement services and client-server communication to provide ubiquitous hyperlinking of image data with other information.
- Big Image Data sets in multiple scientific applications to support benchmarking.
Start Date: Tuesday, May 27, 2014
End Date: Tuesday, May 27, 2014
Location: Stanford, CA