With the development of deep learning theory and technology, the performance of computer vision algorithms including object detection and tracking, face recognition, and 3D reconstruction have made tremendous progress. However, computer vision technology relies on the valid information from the input image and video, and the performance of the algorithm is essentially constrained by the quality of source image/video.
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.
GigaVision is the workshop of computer vision in gigapixel videography, aiming to introduce a latest video/image dataset with gigapixel-level resolution and high dynamic range in terms of spatial, temporal, angle and spectrum dimensions and promote the application of such big data in computer vision tasks.
The workshop invites submissions of original high-quality contributions. Relevant work that has been recently published, is in progress, or is to be presented other venues including the CVPR main conference is also welcome. Topics of interests include, but are not limited to: