In recent years, with the spread of devices with various screen sizes, the demand for resizing methods is increasing. Seam carving (SC) is one of the resizing methods. This method removes visually unimportant areas (hereinafter referred to as "seam") and resizes the image without losing its impression. SC for video images has the problem that the most impressive areas are shifted because the seams are different from frame to frame. There are previous methods to solve this problem, but they require a huge amount of processing time. The proposed method enables SC with reduced misalignment and processing time by area segmentation and seam reuse.
With the recent development of 3D computer graphics technology, the required hardware processing speed has been increasing. As a solution to this problem, there are methods to reduce the drawing load by omitting some drawing processes. Level-of-Detail and Occlusion Culling are examples of conventional methods, but both have the problem that they cannot reduce the rendering load for near objects. In this method, the drawing of near objects that exist in the shadow and are not illuminated by light is omitted, thereby reducing the drawing load while suppressing the loss of impression.
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