CVCP 2013 - The First IEEE International Workshop on Computer Vision for Converging Perspectives

We now live in a world that can be thought of a massive heterogeneous visual sensor network with devices ranging from first-person vision systems to unmanned aerial imaging platforms capable of sensing the world around us from wildly different perspectives. The images captured from these different perspectives are complementary, and so fusing them is a logical approach for improving vision-based object and event understanding. For example, while a wearable camera mounted on a subject can capture an event closely and in great detail, an aerial imaging system observing the event from above can provide the geospatial context necessary to interpret the event. The key to integrating these different perspectives?to get them to converge?is, of course, location. We feel that due to the growing availability of geo-referenced images and videos, the time is right to investigate the research challenges and opportunities involved with jointly analyzing images and videos captured from different devices and from wildly varying perspectives but of the same location. Combining this heterogeneous visual data could lead to improved data organization strategies, event understanding systems, and transformative solutions for computer vision challenges. The focus of this workshop therefore is to explore techniques that can exploit the rich data provided by converging perspectives, such as first-person cameras, street view sensors, mobile phones, and aerial images.
Call for Papers:
The aim of this workshop on Computer Vision for Converging Perspectives is to bring together interested researchers from academia, government, and industry working in the field of computer vision, machine learning, pattern recognition, and remote sensing to address the challenges involved in developing vision systems capable of assimilating image and video data from heterogeneous, multiscale and multi-perspective visual sensing platforms for actionable intelligence and scientific discoveries. The workshop will provide an interactive forum to engage in discussions, shape potential research directions, and disseminate recent research results. This workshop invites contributions in the form of original papers to the following areas:
Complex event understanding through visual data fusion
Advanced image indexing and retrieval
Spatio-temporal integration of visual observations
First-person vision meets the eye in the sky
Data fusion for scene classification
Heterogeneous and multi-perspective imaging systems and architectures
Geospatial context for social media analysis
Big data challenges in heterogeneous imaging networks
Domain knowledge transfer between personal photos/videos and streetview images
Registration of social network data with streetview images
Further, to stimulate the research in this emerging area, we provide an extensive dataset of geo-coincident imagery for the workshop participants to explore.