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Towards Temporally Consistent Video Editing
The Hong Kong University of Science and Technology Department of Computer Science and Engineering PhD Thesis Defence Title: "Towards Temporally Consistent Video Editing" By Mr. Hao OUYANG Abstract: The ubiquity of video content in our daily lives has catalyzed a corresponding surge in demand for advanced video editing techniques. The main goal of video editing is the transformation of visual data into outputs that are not only visually pleasing but also temporally consistent. Such algorithms hold significant potential for a myriad of practical applications, enabling users to seamlessly remove unwanted objects, rectify facial anomalies, and generate aesthetically pleasing outcomes. Despite considerable advancements in video editing methodologies, persistent issues remain, notably the emergence of abrupt color artifacts and severe flickering, which detract from the realism of edited videos. This thesis is committed to enhancing video editing performance with a special focus on temporal consistency. Our approach is tripartite: Firstly, we employ deep internal learning to tap into the intrinsic structures of video data, aiming to achieve improved consistency. Secondly, we integrate 3D information to further stabilize temporal elements. Lastly, we refine video representation through a content deformation field, which adapts existing image algorithms for application to video sequences. These diverse strategies have been tested across a variety of editing tasks and have demonstrated commendable efficacy in improving the fidelity and coherence of video editing processes. Date: Monday, 6 May 2024 Time: 4:00pm - 6:00pm Venue: Room 5506 Lifts 25/26 Chairman: Prof. Yi-Kuen LEE (MAE) Committee Members: Prof. Qifeng CHEN (Supervisor) Prof. Chi-Keung TANG Prof. Pedro SANDER Prof. Ling SHI Prof. Rynson LAW (CityU)