高技术通讯2026，Vol.36Issue(7)：713-723,11.DOI:10.3772/j.issn.1002-0470.2026.07.005
基于纹理结构与CA-Transformer的深度图帧内快速编码算法
A fast intra-frame coding algorithm for depth maps based on texture structure and CA-Transformer
摘要
Abstract
To address the high complexity issue in depth map coding of three-dimensional high efficiency video coding(3D-HEVC),this paper proposes a fast depth map coding algorithm that integrates texture partitioning structure and deep learning.First,a texture map partitioning structure based method is introduced to accelerate depth map cod-ing,which identifies and simplifies coding tree unit(CTU)in advance to achieve rapid partitioning results.Sec-ond,a neural network named CA-Transformer is designed.Leveraging the sensitivity of convolutional neural net-works to local features and the global feature modeling capability of vision Transformers,the proposed CA-Trans-former network processes structurally complex depth map images to predict CTU partitioning structures.By repla-cing the original CTU partitioning process in the standard encoder with the proposed algorithm,experimental results demonstrate that the algorithm reduces encoding time by an average of 56.00%while maintaining nearly identical rate-distortion performance and synthesized view quality.关键词
三维高效视频编码/纹理图/深度图/编码树单元划分/帧内编码Key words
three-dimensional high efficiency video coding/texture map/depth map/coding tree unit parti-tioning/intra encoding引用本文复制引用
李竟泽,贾克斌..基于纹理结构与CA-Transformer的深度图帧内快速编码算法[J].高技术通讯,2026,36(7):713-723,11.基金项目
北京市自然科学基金(4212001)资助项目. （4212001）
