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ly contains abundant amounts of spatial and temporal redundancy video compression algorithms attempt to reduce redundancy and store information more compactly most video compression formats and codecs exploit both spatial and temporal redundancy e g through difference coding with motion compensation similarities can be encoded by only storing differences between e g temporally adjacent frames inter frame coding or spatially adjacent pixels intra frame coding inter frame compression a temporal delta encoding re uses data from one or more earlier or later frames in a sequence to describe the current frame intra frame coding on the other hand uses only data from within the current frame effectively being still image compression 51 the intra frame video coding formats used in camcorders and video editing employ simpler compression that uses only intra frame prediction this simplifies video editing software as it prevents a situation in which a compressed frame refers to data that the editor has deleted usually video compression additionally employs lossy compression techniques like quantization that reduce aspects of the source data that are more or less irrelevant to the human visual perception by exploiting perceptual features of human vision for example small differences in color are more difficult to perceive than are changes in brightness compression algorithms can average a color across these similar areas in a manner similar to those used in jpeg image compression 9 as in all lossy compression there is a trade off between video quality and bit rate cost of processing the compression and decompression and system requirements highly compressed video may present visible or distracting artifacts other methods other than the prevalent dct based transform formats such as fractal compression matching pursuit and the use of a discrete wavelet transform dwt have been the subject of some research but are typically not used in practical products wavelet compression is used in still image coders and video coders without motion compensation interest in fractal compression seems to be waning due to recent theoretical analysis showing a comparative lack of effectiveness of such methods 51 inter frame coding edit main article inter frame further information motion compensation in inter frame coding individual frames of a video sequence are compared from one frame to the next and the video compression codec records the differences to the reference frame if the frame contains areas where nothing has moved the system can simply issue a short command that copies that part of the previous frame into the next one if sections of the frame move in a simple manner the compressor can emit a slightly longer command that tells the decompressor to shift rotate lighten or darken the copy this longer command still remains much shorter than data generated by intra frame compression usually the encoder will also transmit a residue signal which describes the remaining more subtle differences to the reference imagery using entropy coding these residue signals have a more compact representation than the full signal in areas of video with more motion the compression must encode more data to keep up with the larger number of pixels that are changing commonly the high frequency detail of explosions flames flocks of animals and some panning shots will lead to decreases in quality or increases in the variable bitrate hybrid block based transform formats edit processing stages of a typical video encoder many commonly used video compression methods e g those in standards approved by the itu t or iso share the same basic architecture that dates back to h 261 which was standardized in 1988 by the itu t they mostly rely on the dct applied to rectangular blocks of neighboring pixels and temporal prediction using motion vectors as well as nowadays also an in loop filtering step in the prediction stage various deduplication and difference coding techniques are applied that help decorrelate data and describe new data based on already transmitted data then rectangular blocks of remaining pixel data are transformed to the frequency domain in the main lossy processing stage frequency domain data gets quantized in order to reduce information that is irrelevant to human visual perception in the last stage statistical redundancy gets largely eliminated by an entropy coder which often applies some form of arithmetic coding in an additional in loop filtering stage various filters can be applied to the reconstructed image signal by computing these filters also inside the encoding loop they can help compression because they can be applied to reference material before it gets used in the prediction process and they can be guided using the original signal the most popular example are deblocking filters that blur out blocking artifacts from quantization discontinuities at transform block boundaries history edit main article video coding format history in 1967 a h robinson and c cherry proposed a run length encoding bandwidth compression scheme for the transmission of analog television signals 71 the dct which is fundamental to modern video compression 72 was introduced by nasir ahmed t natarajan and k r rao in 1974 16 73 h 261 which debuted in 1988 commercially introduced the prevalent basic architecture of video compression technology 74 it was the first video coding format based on dct compression 72 h 261 was developed by a number of companies including hitachi picturetel ntt bt and toshiba 75 the most popular video coding standards used for codecs have been the mpeg standards mpeg 1 was developed by the motion picture experts group mpeg in 1991 and it was designed to compress vhs quality video it was succeeded in 1994 by mpeg 2 h 262 74 which was developed by a number of companies primarily sony thomson and mitsubishi electric 76 mpeg 2 became the standard video format for dvd and sd digital television 74 in 1999 it was followed by mpeg 4 h 263 74 it was also developed by a number of companies primarily mitsubishi electric hitachi and panasonic 77 h 264 mpeg 4 avc was developed in 2003 by a number of organizations primarily panasonic godo kaisha ip bridge and lg electronics 78 avc commercially introduced the modern context adaptive binary arithmetic coding cabac and context adaptive variable length coding cavlc algorithms avc is the main video encoding standard for blu ray discs and is widely used by video sharing websites and streaming internet services such as youtube netflix vimeo and itunes store web software such as adobe flash player and microsoft silverlight and various hdtv broadcasts over terrestrial and satellite television 79 genetics edit genetics compression algorithms are the latest generation of lossless algorithms that compress data typically sequences of nucleotides using both conventional compression algorithms and genetic algorithms adapted to the specific datatype in 2012 a team of scientists from johns hopkins university published a genetic compression algorithm that does not use a reference genome for compression hapzipper was tailored for hapmap data and achieves over 20 fold compression 95 reduction in file size providing 2 to 4 fold better compression and is less computationally intensive than the leading general purpose compression utilities for this chanda elhaik and bader introduced maf based encoding mafe which reduces the heterogeneity of the dataset by sorting snps by their minor allele frequency thus homogenizing the dataset 80 other algorithms developed in 2009 and 2013 dnazip and genomezip have compression ratios of up to 1200 fold allowing 6 billion basepair diploid human genomes to be stored in 2 5 megabytes relative to a reference genome or averaged over many genomes 81 82 for a benchmark in genetics genomics data compressors see 83 outlook and currently unused potential edit it is estimated that the total amount of data that is stored on the world s storage devices could be further compressed with existing compression algorithms by a remaining average factor of 4 5 1 84 it is estimated that the combined technological capacity of the world to store information provides 1 300 exabytes of hardware digits in 2007 but when the corresponding content is optimally compressed this only represents 295 exabytes of shannon information 85 data compression algorithms edit lossless edit 842 adaptive coding adaptive huffman coding algorithm bstw arithmetic coding asymmetric numeral systems brotli burrows wheeler transform byte pair encoding bzip2 canonical huffman code chain code context mixing context tree weighting deflate delta encoding dictionary coder dynamic markov compression elias gamma coding exponential golomb coding felics fibonacci coding golomb coding grammar based code huffman coding incremental encoding lempel ziv oberhumer lzs lempel ziv storer szymanski lzss lempel ziv welch lzw levenshtein coding lz4 lz77 and lz78 lzfse lzma lzrw lzwl lzx modified huffman coding move to front transform negafibonacci coding packbits paq prediction by partial matching range coding re pair recursive indexing rice coding run length encoding sequitur algorithm shannon coding shannon fano coding shannon fano elias coding snappy truncated binary encoding tunstall coding unary coding universal code zopfli zstandard lossy edit 3dc a law algorithm adaptive differential pulse code modulation adaptive scalable texture compression algebraic code excited linear prediction block truncation coding code excited linear prediction color cell compression delta modulation differential pulse code modulation discrete cosine transform discrete sine transform discrete wavelet transform embedded zerotrees of wavelet transforms fractal compression lapped transform line spectral pairs linear predictive coding log area ratio modified discrete cosine transform mu law algorithm parametric stereo laplacian pyramid pyramid vector quantization s2tc s3 texture compression set partitioning in hierarchical trees sub band coding transform coding turboquant vector quantization wavelet compression wavelet scalar quantization warped linear predictive coding see also edit data conversion http compression kolmogorov complexity minimum description length modulo n code motion coding range coding set redundancy compression sub band coding universal code data compression vector quantization references edit wade graham 1994 signal coding and processing 2 ed cambridge university press p 34 isbn 978 0 521 42336 6 retrieved 2011 12 22 the broad objective of source coding is to exploit or remove inefficient redundancy in the pcm source and thereby achieve a reduction in the overall source rate r 1 2 mahdi o a mohammed m a mohamed a j november 2012 implementing a novel approach an convert audio compression to text coding via hybrid technique pdf international journal of computer science issues 9 6 no 3 53 59 archived pdf from the original on 2013 03 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