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Currently, frameworks for transmitting texture video and depth information for each pixel (called a depth map) are being studied with the objective of reducing the amount of data in multiview videos of free viewpoint TV (FTV) and 3DTV [1]. In these frameworks, the 3D video format is called the multiview video plus depth (MVD) format, which consists mainly of a set of a few texture videos of any view point and a corresponding depth map. Some of the transmitted texture videos and corresponding depth maps can be used to create a texture video of another view point by using depth-image-based rendering (DIBR) techniques at the decoder side. For view synthesis, the MVD format includes camera parameters, such as the maximum and minimum distances between the camera and the subject in the captured views and the focal length of the camera. In general, block-wise motion compensation (MC) based on block matching (BM) is mainly performed to reduce the data amount during the coding of a 2D video as a depth map in interframe prediction. However, simple block-wise MC is not always suitable for motions such as local scaling, rotation, and deformation. Thus, to predict such motions, pixel-wise MC using a technique to estimate the apparent motion (optical flow) of each pixel through real-precision was proposed in [2]. In this method, pixelwise motion vectors (MVs) are calculated using two coded frames, t − 2 and t − 1, and an approximate frame of the current frame is created using these vectors, assuming the linear uniform motion of the subject. An advantage of this method is that the pixel-wise MVs do not need to be transmitted, because they can be calculated at the decoder side by using

Pixel-Wise Interframe Prediction based on Dense Three-Dimensional Motion Estimation for Depth Map Coding