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2. High Efficiency Video Coding - Wikipedia

   en.wikipedia.org/wiki/High_Efficiency_Video_Coding

   www.itu.int /rec /T-REC-H.265. High Efficiency Video Coding (HEVC), also known as H.265 and MPEG-H Part 2, is a video compression standard designed as part of the MPEG-H project as a successor to the widely used Advanced Video Coding (AVC, H.264, or MPEG-4 Part 10). In comparison to AVC, HEVC offers from 25% to 50% better data compression at ...

3. Context-adaptive binary arithmetic coding - Wikipedia

   en.wikipedia.org/wiki/Context-adaptive_binary...

   Context-adaptive binary arithmetic coding (CABAC) is a form of entropy encoding used in the H.264/MPEG-4 AVC [1][2] and High Efficiency Video Coding (HEVC) standards. It is a lossless compression technique, although the video coding standards in which it is used are typically for lossy compression applications.

4. zstd - Wikipedia

   en.wikipedia.org/wiki/Zstd

   Data compression. License. BSD-3-Clause or GPL-2.0-or-later (dual-licensed) Website. facebook.github.io /zstd /. Zstandard is a lossless data compression algorithm developed by Yann Collet at Facebook. Zstd is the corresponding reference implementation in C, released as open-source software on 31 August 2016. [3][4]

5. JPEG - Wikipedia

   en.wikipedia.org/wiki/JPEG

   JPEG (/ ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.

6. VP9 - Wikipedia

   en.wikipedia.org/wiki/VP9

   VP9 is the last official iteration of the TrueMotion series of video formats that Google bought in 2010 for $134 million together with the company On2 Technologies that created it. The development of VP9 started in the second half of 2011 under the development names of Next Gen Open Video (NGOV) and VP-Next. [8][9][10] The design goals for VP9 ...

7. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Definition. Data compression ratio is defined as the ratio between the uncompressed size and compressed size: [1][2][3][4][5] Thus, a representation that compresses a file's storage size from 10 MB to 2 MB has a compression ratio of 10/2 = 5, often notated as an explicit ratio, 5:1 (read "five" to "one"), or as an implicit ratio, 5/1.