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Computer Science > Computer Vision and Pattern Recognition

arXiv:2311.15581 (cs)
[Submitted on 27 Nov 2023]

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

Authors:Sudheer Achary, Rohit Girmaji, Adhiraj Anil Deshmukh, Vineet Gandhi
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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.
Subjects: Computer Vision and Pattern Recognition (cs.CV); Graphics (cs.GR); Human-Computer Interaction (cs.HC); Multimedia (cs.MM)
Cite as: arXiv:2311.15581 [cs.CV]
  (or arXiv:2311.15581v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2311.15581

Submission history

From: Sudheer Achary [view email]
[v1] Mon, 27 Nov 2023 07:19:10 UTC (3,798 KB)
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