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The rapid developments of 3D video techniques and real applications have attracted the attention of consumers, so the demand degree of storage and transformation for 3D video content has become stronger than before. The 3D-HEVC compression structure is the development of HEVC. 3D-HEVC adopts a multi-view video plus depth (MVD) system, where it establishes correspondences between every depth map and every texture frame. Depth modeling modes (DMM) are also developed by 3D-HEVC because they play an important role in sharp edge encoding. However, the distinct trouble of using DMM, which increases computational burdens, will be introduced in the 3D-HEVC encoder. This paper presents a fast mode selection system that researches the texture frames and depth maps in order to attain the edge data of prediction units (PUs), and then a novel early stop according to the flatness of the current block is also adopted. Beyond that, we also introduce a fresh heuristic method in terms of shuffled frog leaping to obtain the best wedgelet pattern in 3D-HEVC. The overall experiment demonstrates that our algorithm surpasses HTM16.0 in terms of coding efficiency with negligible loss. [ABSTRACT FROM AUTHOR]

3D extension of high efficiency video coding (3D-HEVC) has become a video compression international standard for multi-view video system applications. The mode prediction process must search for optimal prediction modes and depth levels with a minimum ratedistortion cost for the coding unit (CU). New coding techniques with improved texture video coding efficiency have been introduced; however, they also increase computational burden, which obstructs 3D-HEVC encoder reliability applications. Therefore, the development of a novel texture video coding is necessary to reduce 3D-HEVC computational complexity. In this paper, the proposed algorithm will exploit an adjusted method of DE and ME based on motion homogeneity of texture videos. The algorithm includes early SKIP/Merge mode decision and adaptive motion search range adjustment. As shown by the simulation results, the proposed fast texture video coding method can reduce computational complexity by approximately 56.6% on average while resulting in a tiny loss of quality. [ABSTRACT FROM AUTHOR]