Overview of the High Efficiency Video Coding (HEVC) Standard

By Gary J. Sullivan, Jens-Rainer Ohm, Woojin Han, Thomas Wiegand. 2012

8,335 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

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Citations in the corpus

High-Fidelity Generative Image Compression (2020, methodology): “Relying on the video codec HEVC [42], BPG [7] achieves very high PSNR across varying bitrates.”
3D High-Efficiency Video Coding for Multi-View Video and Depth Data (2013, neutral): “These inter-view motion parameter candidates have been added to the candidate list for the so-called merge mode in HEVC [14], [48].”
An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC) (2020, methodology): “Moreover, 10-bit profiles such as the one in HEVC encoders [45] can improve accuracy and coding performance.”
UVG dataset: 50/120fps 4K sequences for video codec analysis and development (2020, background): “In past decades, MPEG and ITU-T have addressed the needs of multimedia applications by announcing a series of video coding standards of which High Efficiency Video Coding ( HEVC/H.265 ) [2] represents state-of-the-art.”
Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC) (2012, neutral): “For further details, the reader is referred to the draft HEVC standard [4], the prior standards [5], [8]–[10], and corresponding books [6], [7], [15] and overview articles [3], [11], [12].”
End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling (2019, background): “Here BPG HM is compiled with HEVC HM reference software which has slightly better performance than x265 used in default BPG. Additional test on Tecnick dataset in Fig.”
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (2019, background): “A common assumption is that each segment starts with an intra/key frame (i.e., IDR-frame in AVC), in order for the decoder to process segments independently from each other.”
Nonlinear Transform Source-Channel Coding for Semantic Communications (2021, methodology): “(1) More flexible patch partition structure: The architecture of NTSCC can potentially support diversified-resolution latent representation instead of the unitary-resolution latent representation used in this paper, this idea follows the quadtree division method in the HEVC standard [46].”
An Overview of Core Coding Tools in the AV1 Video Codec (2018, methodology): “265/HEVC[2] codec, while considerably outperforming the most commonly used format H.”
NeRV: Neural Representations for Videos (2021, background): “We compare with H.264 [8], HEVC [2], STAT-SSF-SP [56], HLVC [26], Scale-space [25], and Wu et al .”
Deep Probabilistic Video Compression (2018, background): “We also provide the performance H.264, H.265, and VP9 codecs (Wiegand et al., 2003; Sullivan et al., 2012; Mukherjee et al., 2015).”
CompressAI: a PyTorch library and evaluation platform for end-to-end compression research (2020, methodology): “org/bpg HEVC [8] HM https://hevc.”
The latest open-source video codec VP9 - An overview and preliminary results (2013, background): “In particular, the following restrictions are imposed: (1) The entropy coding contexts are reset to defaults at the beginning of each frame.”