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2. Weissman score - Wikipedia

   en.wikipedia.org/wiki/Weissman_score

   Weissman score. The Weissman score is a performance metric for lossless compression applications. It was developed by Tsachy Weissman, a professor at Stanford University, and Vinith Misra, a graduate student, at the request of producers for HBO's television series Silicon Valley, a television show about a fictional tech start-up working on a ...

3. Comparison of video codecs - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_video_codecs

   Α video codec is software or a device that provides encoding and decoding for digital video, and which may or may not include the use of video compression and/or decompression. Most codecs are typically implementations of video coding formats . The compression may employ lossy data compression, so that quality-measurement issues become important.

4. Kilobyte - Wikipedia

   en.wikipedia.org/wiki/Kilobyte

   Kilobyte. The kilobyte is a multiple of the unit byte for digital information . The International System of Units (SI) defines the prefix kilo as a multiplication factor of 1000 (10 3 ); therefore, one kilobyte is 1000 bytes. [ 1] The internationally recommended unit symbol for the kilobyte is kB. [ 1]

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6. Lossless compression - Wikipedia

   en.wikipedia.org/wiki/Lossless_compression

   Lossless compression is a class of data compression that allows the original data to be perfectly reconstructed from the compressed data with no loss of information. Lossless compression is possible because most real-world data exhibits statistical redundancy. [ 1] By contrast, lossy compression permits reconstruction only of an approximation ...

7. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...