Shiori Sugimoto

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This paper proposes a novel prediction scheme for depth map coding. We utilize the fact that depth values are largely dependent on objects and one small block consists of only a small number of objects at most. The proposed method approximates each block with one palette and one object shape map. The palette consists of two representative depth values for(More)
Video with depth is attracting attention as a promising approach to future 3D video. Unlike conventional video coding technologies, video with depth should take the correlations between video and depth into account. This paper proposes a novel bi-prediction scheme for video coding that exploits the structure similarity between video and depth. In the(More)
View synthesis prediction is critical for efficient compression of 3D video, which consists of multiview video and depth maps. However, its performance is limited in practical situations since it is necessary to use erroneous depth information and to perform block-based compensation instead of pixel-based warping. This paper proposes a novel view synthesis(More)
Inter-view residual prediction and advanced residual prediction (ARP) are efficient tools for coding dependent views of 3D video. It can predict the residue of motion compensated prediction (MCP) using the additional derived disparity vector. However, its coding performance depends on the accuracy of disparity vector derivation. In this paper, we propose(More)
In 3D video compression, depth map is normally compressed by resolution reduction. To avoid artifacts in views synthesized with the reduced resolution depth map, up-sampling approaches based on special properties of depth map have been proposed. Most previous studies do not apply rate-distortion control and the quality of depth map and synthesized views is(More)
View synthesis prediction has been studied as an efficient inter-view prediction scheme. Existing view synthesis prediction schemes fall into two types according to the pixel warping direction. While backward warping based view synthesis prediction enables block-based processing, forward warping based view synthesis prediction can handle occlusions(More)
Pixel domain methods for content-aware image retargeting have a performance limitation in that they distort important objects when an image is shrunken too much. To address this problem, we have designed and developed a novel 3D space domain image retargeting which rearranges objects with occlusions and deforms objects. With this method image formation is(More)
This paper describes a large-scale 3D magnetostatic analysis using the Domain Decomposition Method (DDM). To improve the convergence of an interface problem of DDM, DDM based on the Conjugate Residual (CR) method or the MINimal RESidual (MINRES) method is proposed. The CR or MINRES method improved convergence rate and showed stable convergence behavior in(More)
In anime production, some key-frames are drawn by artist precisely and then a great number of in-betweening frames are drawn by assistants' hands. However, it is seriously time-consuming and skilled work to draw many characters especially including face rotation. In this paper, we propose an automatic in-betweening technique for rotating face of hand drawn(More)