Fast Depth Map Intra Mode Prediction Based on Self-organizing Map

Amal Hammani, Hamza Hamout, A. Elyousfi
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Abstract

3D-HEVC is developed by ISO/IEC MPEG and ITU-T Video Coding Experts Group (VCEG) as the highestprofile extension of HEVC for 3D video coding and Multi-View texture Videos plus Depth maps (MVD) compress. Concerning the current 3D-HEVC design, the uniform HEVC Intra prediction and Depth Modeling Modes (DMMs) are used in a sophisticated way to ameliorate the performance of the depth map video coding. Although, the enhancement of the coding efficiency is achieved at the cost of computational complexity load, which prevents 3D-HEVC from being used in real-world applications. Thus, we suggest a fast depth map Intra prediction mode decision based on the Self-organizing Map to resolve the aforementioned computational complexity increases. The experimental results demonstrate that the suggested algorithm can increase the encoding time savings up to 39.8%, with insignificant rate-distortion loss.
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基于自组织图的深度图模式内快速预测
3D-HEVC是由ISO/IEC MPEG和ITU-T视频编码专家组(VCEG)开发的,是HEVC用于3D视频编码和多视图纹理视频加深度图(MVD)压缩的最引人注目的扩展。在当前3D-HEVC设计中,为了改善深度图视频编码的性能,采用了统一的HEVC帧内预测和深度建模模式(dmm)。然而,编码效率的提高是以计算复杂度负载为代价的,这阻碍了3D-HEVC在实际应用中的应用。因此,我们提出了一种基于自组织映射的深度图内部预测模式快速决策,以解决上述计算复杂性增加的问题。实验结果表明,该算法在不造成码率失真损失的情况下,可将编码时间节省39.8%。
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