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Object-based coding of stereo image sequences using joint 3-D motion/disparity compensation

机译:使用联合3-D运动/视差补偿的基于对象的立体图像序列编码

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摘要

An object-based coding scheme is proposed for the coding of a stereoscopic image sequence using motion and disparity information. A hierarchical block-based motion estimation approach is used for initialization, while disparity estimation is performed using a pixel-based hierarchical dynamic programming algorithm. A split-and-merge segmentation procedure based on three-dimensional (3-D) motion modeling is then used to determine regions with similar motion parameters. The segmentation part of the algorithm is interleaved with the estimation part in order to optimize the coding performance of the procedure. Furthermore, a technique is examined for propagating the segmentation information with time. A 3-D motion-compensated prediction technique is used for both intensity and depth image sequence coding. Error images and depth maps are encoded using discrete cosine transform (DCT) and Huffman methods. Alternately, an efficient wireframe depth modeling technique may be used to convey depth information to the receiver. Motion and wireframe model parameters are then quantized and transmitted to the decoder along with the segmentation information. As a straightforward application, the use of the depth map information for the generation of intermediate views at the receiver is also discussed. The performance of the proposed compression methods is evaluated experimentally and is compared to other stereoscopic image sequence coding schemes.
机译:提出了一种基于对象的编码方案,用于使用运动和视差信息对立体图像序列进行编码。使用基于分层块的运动估计方法进行初始化,而使用基于像素的分层动态编程算法执行视差估计。然后使用基于三维(3-D)运动建模的拆分合并分割过程来确定具有相似运动参数的区域。算法的分割部分与估计部分交错,以优化过程的编码性能。此外,研究了一种用于随着时间传播分割信息的技术。 3-D运动补偿预测技术用于强度和深度图像序列编码。使用离散余弦变换(DCT)和霍夫曼方法对错误图像和深度图进行编码。或者,可以使用有效的线框深度建模技术将深度信息传达给接收器。然后将运动和线框模型参数量化,并与分段信息一起传输到解码器。作为直接的应用,还讨论了深度图信息在接收器处用于生成中间视图的使用。实验评估了所提出的压缩方法的性能,并将其与其他立体图像序列编码方案进行了比较。

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