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Joint Source and Channel Coding for 3-D Scene Databases Using Vector Quantization and Embedded Parity Objects

机译:使用矢量量化和嵌入式奇偶校验对象的3-D场景数据库的联合源和通道编码

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Three-dimensional graphic scenes contain various mesh objects in one geometric space where different objects have potentially unequal importance regarding display. This paper proposes an object-oriented system for efficiently coding and streaming 3-D scene databases in lossy and rate-constrained environments. Vector quantization (VQ) is exploited to code 3-D scene databases into multiresolution hierarchies. For the best distortion-rate performance, adaptive quantization precisions are allocated to different objects and different layers of each object based on a weighted distortion model. Upon transmission, scalably coded objects are delivered in respective packet sequences to preserve their manipulation independency. For packet loss resilience, a plurality of FEC codes are generated as "parity objects" parallel to graphic objects, which protect the graphic objects concurrently and also preferentially in regard to their unequal decoding importance. A rate-distortion optimization framework is then developed, which performs rate allocation between graphic objects and parity objects and generates the parity data properly. We show that, by treating graphic objects jointly and preferentially in source and channel coding while preserving their independencies in transport, the proposed system reduces the receiving distortion of the 3-D database significantly compared to conventional methods
机译:三维图形场景在一个几何空间中包含各种网格物体,其中不同的物体在显示方面可能具有不平等的重要性。本文提出了一种面向对象的系统,用于在有损和速率受限的环境中有效地编码和流式传输3-D场景数据库。利用矢量量化(VQ)将3D场景数据库编码为多分辨率层次结构。为了获得最佳的失真率性能,基于加权失真模型将自适应量化精度分配给不同的对象以及每个对象的不同层。在传输时,按比例缩放的编码对象按各自的数据包序列进行传递,以保持其操作独立性。对于分组丢失恢复,生成多个FEC代码作为与图形对象平行的“奇偶对象”,它们同时保护图形对象,并且还优先考虑其不相等的解码重要性。然后开发一个速率失真优化框架,该框架在图形对象和奇偶校验对象之间执行速率分配,并正确生成奇偶校验数据。我们表明,通过在源和通道编码中联合并优先处理图形对象,同时保留它们在传输中的独立性,与传统方法相比,该系统大大降低了3-D数据库的接收失真

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