Paper
19 January 2009 An automated object-level video editing tool
Sara Ibrahim, Mona AbdElbaky, Kholood Mohamed, Kawther Yassin, Elsayed Hemayed
Author Affiliations +
Proceedings Volume 7255, Multimedia Content Access: Algorithms and Systems III; 725505 (2009) https://doi.org/10.1117/12.810236
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
In this paper, we are presenting an object-level video editing tool that provides automatic object removal and video summarizing capabilities based on a user selected object. The tool has three main modules; object selection, object detection and background completion. In the object selection module, user selects the required object to be removed or used as reference for video summarization. The object contour is calculated using Livewire algorithm. The object detection module uses a correlation technique to detect the object in all frames. In the background completion module, the background is filled using a novel and efficient algorithm that combines the advantages of texture synthesis algorithms and inpainting techniques. A detailed description of the tool is presented in this paper along with a variety of experimental results.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sara Ibrahim, Mona AbdElbaky, Kholood Mohamed, Kawther Yassin, and Elsayed Hemayed "An automated object-level video editing tool", Proc. SPIE 7255, Multimedia Content Access: Algorithms and Systems III, 725505 (19 January 2009); https://doi.org/10.1117/12.810236
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KEYWORDS
Video

Detection and tracking algorithms

Image processing algorithms and systems

Edge detection

Image segmentation

Multimedia

Computer engineering

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