Real Time GAZED: Online Shot Selection and Editing of Virtual Cameras from Wide-Angle Monocular Video Recordings

November 27, 2023 · Declared Dead · 🏛 IEEE Workshop/Winter Conference on Applications of Computer Vision

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Authors Sudheer Achary, Rohit Girmaji, Adhiraj Anil Deshmukh, Vineet Gandhi arXiv ID 2311.15581 Category cs.CV: Computer Vision Cross-listed cs.GR, cs.HC, cs.MM Citations 2 Venue IEEE Workshop/Winter Conference on Applications of Computer Vision Last Checked 3 months ago

Abstract

Eliminating time-consuming post-production processes and delivering high-quality videos in today's fast-paced digital landscape are the key advantages of real-time approaches. To address these needs, we present Real Time GAZED: a real-time adaptation of the GAZED framework integrated with CineFilter, a novel real-time camera trajectory stabilization approach. It enables users to create professionally edited videos in real-time. Comparative evaluations against baseline methods, including the non-real-time GAZED, demonstrate that Real Time GAZED achieves similar editing results, ensuring high-quality video output. Furthermore, a user study confirms the aesthetic quality of the video edits produced by the Real Time GAZED approach. With these advancements in real-time camera trajectory optimization and video editing presented, the demand for immediate and dynamic content creation in industries such as live broadcasting, sports coverage, news reporting, and social media content creation can be met more efficiently.