The H.264 Advanced Video Compression Standard

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Channel-Wise Autoregressive Entropy Models for Learned Image Compression (2020, background): “Conditioning on the causal context allows for better modeling of spatial correlation and is commonly used in standard image codecs [20]–[22] and for intra-frame prediction in video codecs [23]–[25].”
Robust Invisible Video Watermarking with Attention (2019, methodology): “opping will not remove the message. Compression. The compression layer uses the discrete cosine transform (DCT) to provide a differentiable approximation of video compression algorithms such as H.264 [25]. By converting the video into the YCrCb color space, applying the 3D DCT transform, zeroing out”
P3: Toward Privacy-Preserving Photo Sharing (2013, neutral): “The proxy manipulates the data stream to achieve privacy preserving photo storage, in a manner that is transparent both to the PSP and the client.”
HARMONIC: A multimodal dataset of assistive human–robot collaboration (2018, methodology): “Eye gaze videos were recorded at 120 Hz and located in the videos folder as eye0.mp4 and eye1.mp4, encoded using the H.264 video codec (Richardson 2010).”
An overview of ongoing point cloud compression standardization activities: video-based (V-PCC) and geometry-based (G-PCC) (2020, methodology): “The Moving Picture Expert Group (MPEG) has been producing internationally successful compression standards, such as MPEG-2 [1], AVC [2], and HEVC [3], for over three decades, many of which have been widely”