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Object-Ratio-Preserving Video Retargeting Framework based on Segmentation and Inpainting

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Digital Marketing

Object-Ratio-Preserving Video Retargeting Framework based on Segmentation and Inpainting

Authors: Jungyu Jin (Kyungpook National University); Jaehyun Bae (Kyungpook National University); Han-gyul Baek (Kyungpook National University); Sang-hyo Park (Kyungpook National University)* Description: The recent development of video-based content platforms led the easy access to videos decades ago. However, some past videos have a old screen ratio. If an image with this ratio is executed on a display with a wider screen ratio, the image is excessively stretched horizontally or creates a black box, which prevents efficient viewing of content. In this paper, we propose a method for retargeting the old ratio video frames to a wider ratio while maintaining the original ratio of important objects in content using deep learning-based semantic segmentation and inpainting techniques. Our research shows that proposed method can make a retargeted frames visually natural.

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