2013/11/19 by Tung Nguyen, Philipp Helle, Martin Winken +4 · 64 citations
Computer Science · Mathematics · #Video Coding and Compression Technologies #Advanced Vision and Imaging #Advanced Image Processing Techniques #Coding tree unit #Quadtree #Context-adaptive binary arithmetic coding #Computer science #Context-adaptive variable-length coding #Coding (social sciences) #Algorithmic efficiency #Variable-length code #Entropy encoding #Tunstall coding #Transform coding #Algorithm #Lapped transform #Artificial intelligence #Discrete cosine transform #Data compression #Mathematics #Decoding methods #Statistics
paper · doi:10.1109/jstsp.2013.2278071
published in IEEE Journal of Selected Topics in Signal Processing 7(6), 978-989 (Institute of Electrical and Electronics Engineers)
openalex publication_date 2013/11/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
High Efficiency Video Coding (HEVC) is the most recent jointly developed video coding standard of ITU-T Visual Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG). Although its basic architecture is built along the conventional hybrid block-based approach of combining prediction with transform coding, HEVC includes a number of coding tools with greatly enhanced coding-efficiency capabilities relative to those of prior video coding standards. Among these tools are new transform coding techniques that include the support for dyadically increasing transform block sizes ranging from 4 × 4 to 32 × 32, the partitioning of residual blocks into variable block-size transforms by using a quadtree-based partitioning dubbed as residual quadtree (RQT) as well as some properly designed entropy coding techniques for quantized transform coefficients of variable transform block sizes. In this paper, we describe these HEVC techniques for transform coding with a particular focus on the RQT structure and the entropy coding stage and demonstrate their benefit in terms of improved coding efficiency by experimental results.