Pixel-Based Inter Prediction in Coded Texture Assisted Depth Coding

作     者：Li, Shuai Lei, Jianjun Zhu, Ce Yu, Lu Hou, Chunping 

作者机构：Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China Univ Elect Sci & Technol China Sch Elect Engn Chengdu 611731 Peoples R China Zhejiang Univ Dept Informat Sci & Elect Engn Hangzhou 310027 Zhejiang Peoples R China 

出 版 物：《IEEE SIGNAL PROCESSING LETTERS》 (IEEE Signal Process Lett)

年 卷 期：2014年第21卷第1期

页      面：74-78页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Natural Science Foundation of China [61228102, 61271324, 60932007, 61002029] Natural Science Foundation of Tianjin [12JCYBJC10400] 

主　　题：Depth coding inter prediction pixel-based motion estimation 3D video 

摘      要：This letter presents a pixel-based motion estimation scheme assisted with the coded texture video for depth inter-prediction, in view of motion similarity between depth and texture video. The proposed scheme can achieve higher inter-prediction gain without transmitting any motion vector in the pixel-based motion estimation. Coupled with depth-texture structure similarity, the inter prediction method is further extended to an integrated prediction approach by making use of both intra and inter information. Experimental results show that our proposed method achieves superior rate-distortion performance.