Gigavision 2019 - 1st Workshop of Computer Vision in Gigapixel Videography (Gigavision)

Organizers
Lu Fang (primary contact) (fanglu-AT-sz.tsinghua.edu.cn), Associate Professor, Tsinghua-Berkeley Shenzhen Institute, China.
David J. Brady (david.brady-AT-duke.edu), Professor, Duke University, USA.
Shenghua Gao (gaoshh-AT-shanghaitech.edu.cn), Assistant Professor, ShanghaiTech University, China.
Yuchen Guo (yuchen.w.guo-AT-gmail.com), Postdoc, Tsinghua University, China.
Website
www.gigavision.cn
Description
Gigapixel videography, beyond the resolution of single camera and human visual perception, plays an important role in capturing large-scale dynamic scene with extremely high resolution for both macro and micro domains. Restricted by the spatial-temporal bandwidth product of optical system, the size, weight, power and cost are central challenges in gigapixel video.
The UnstructureCam we designed, an end-to-end unstructured multi-scale camera system, shows the ability of real-time capture, dynamically adjusting local-view cameras, and online warping for synthesizing gigapixel video. We take the advantage of our UnstructureCam to develop the Gigapixel Video Dataset. And these datasets we provide in www.gigacamera.com are all characterized by extremely high resolution, large scale, wide FOV and huge data throughout. We hope that our datasets will help researchers solve the corresponding computer vision tasks.
Scope and Topics
Gigapixel videography plays important role in capturing large-scale dynamic scenes for both macro and micro domains. Benefited from the recent progress of gigapixel camera design, the capture of gigapixel-level image/video becomes more and more convenient. In particular, along with the emergence of gigapixel-level image/video, the corresponding computer vision tasks remain unsolved, due to the extremely high-resolution, large-scale, huge-data that induced by the gigapixel camera.
To this end, we solicit original and ongoing research addressing the topics listed below (but not limited to):
Long-term multi-target object tracking
Large-scale generic object detection
Large-scale human action recognition
Large-scale face detection/recognition
Large-scale anomaly detection
Large-scale crowd counting
Gigapixel video enhancement
Gigapixel video compression and streaming
Gigapixel video depth estimation