https://wiki.multimedia.cx/api.php?action=feedcontributions&user=Aaniyo&feedformat=atomMultimediaWiki - User contributions [en]2022-12-03T19:54:00ZUser contributionsMediaWiki 1.37.2https://wiki.multimedia.cx/index.php?title=Category:Video_Editor&diff=6925Category:Video Editor2007-02-02T07:05:35Z<p>Aaniyo: </p>
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<div>Video Editing Softwares</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=VirtualDub&diff=6924VirtualDub2007-02-02T07:04:59Z<p>Aaniyo: </p>
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<div>'''VirtualDub''' is an open source video capture and linear processing tool for Microsoft Windows. It is written by Avery Lee, and is licensed under the GPL. It is hosted on [http://sf.net/ SourceForge]].<br />
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[[Category: Video Editor]]<br />
[[Category: Multimedia Programs]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=User_talk:Aaniyo&diff=6923User talk:Aaniyo2007-02-02T07:00:29Z<p>Aaniyo: </p>
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<div>Feel free to post me a comment :D</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=User:Aaniyo&diff=6922User:Aaniyo2007-02-02T07:00:00Z<p>Aaniyo: </p>
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<div>Learning the theories of Multimedia :D</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=JPEG-LS&diff=6921JPEG-LS2007-02-02T06:59:09Z<p>Aaniyo: </p>
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<div>'''JPEG-LS''' was developed with the aim of providing a low complexity lossless image compression standard that could be able to offer better compression efficiency than [[lossless JPEG]]. Part 1 of this standard was finalized in 1999.<br />
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[[Category:Multimedia-related Standards Bodies]]<br />
[[Category:Container Formats]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Vector_Quantization&diff=6920Vector Quantization2007-02-02T06:58:02Z<p>Aaniyo: </p>
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<div>In data compression, '''vector quantization''' is a [[quantization]] technique often used in [[lossy data compression]] in which the basic idea is to code or replace with a key, values from a multidimensional vector space into values from a discrete subspace of lower dimension.<br />
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[[Category:Compression Theory]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Huffman&diff=6919Huffman2007-02-02T06:57:28Z<p>Aaniyo: </p>
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<div>'''Huffman coding''' is an [[entropy encoding]] algorithm used for [[lossless data compression]]. The term refers to the use of a variable length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol.<br />
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[[Category:Compression Theory]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&diff=6918Discrete Fourier transform2007-02-02T06:57:05Z<p>Aaniyo: </p>
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<div>'''Discrete Fourier transform''' (DFT), sometimes called the finite Fourier transform, is a [[Fourier transform]] widely employed in signal processing and related fields to analyze the frequencies contained in a sampled signal, to solve partial differential equations, and to perform other operations such as convolutions. The DFT can be computed efficiently in practice using a [[fast Fourier transform]] (FFT) algorithm.<br />
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[[Category:Compression Theory]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&diff=6917Discrete Cosine Transform2007-02-02T06:56:41Z<p>Aaniyo: </p>
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<div>A '''discrete cosine transform''' (DCT) is a Fourier-related transform similar to the [[discrete Fourier transform]] (DFT), but using only real numbers. DCTs are equivalent to DFTs of roughly twice the length, operating on real data with even symmetry (since the Fourier transform of a real and even function is real and even), where in some variants the input and/or output data are shifted by half a sample. There are eight standard DCT variants, of which four are common.<br />
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[[Category:Compression Theory]]</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=JPEG-LS&diff=6916JPEG-LS2007-02-02T06:52:15Z<p>Aaniyo: </p>
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<div>'''JPEG-LS''' was developed with the aim of providing a low complexity lossless image compression standard that could be able to offer better compression efficiency than [[lossless JPEG]]. Part 1 of this standard was finalized in 1999.</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Vector_Quantization&diff=6915Vector Quantization2007-02-02T06:48:13Z<p>Aaniyo: </p>
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<div>In data compression, '''vector quantization''' is a [[quantization]] technique often used in [[lossy data compression]] in which the basic idea is to code or replace with a key, values from a multidimensional vector space into values from a discrete subspace of lower dimension.</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=JPEG_2000&diff=6914JPEG 20002007-02-02T06:46:50Z<p>Aaniyo: </p>
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<div>'''JPEG 2000''' is a [[wavelet]]-based image compression standard. It was created by the Joint Photographic Experts Group committee with the intention of superseding their original discrete cosine transform-based [[JPEG]] standard. Common filename extensions include .jp2 and .j2c, while the MIME type is image/jp2.</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Huffman&diff=6913Huffman2007-02-02T06:45:34Z<p>Aaniyo: </p>
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<div>'''Huffman coding''' is an [[entropy encoding]] algorithm used for [[lossless data compression]]. The term refers to the use of a variable length code table for encoding a source symbol (such as a character in a file) where the variable-length code table has been derived in a particular way based on the estimated probability of occurrence for each possible value of the source symbol.</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&diff=6912Discrete Fourier transform2007-02-02T06:43:10Z<p>Aaniyo: </p>
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<div>'''Discrete Fourier transform''' (DFT), sometimes called the finite Fourier transform, is a [[Fourier transform]] widely employed in signal processing and related fields to analyze the frequencies contained in a sampled signal, to solve partial differential equations, and to perform other operations such as convolutions. The DFT can be computed efficiently in practice using a [[fast Fourier transform]] (FFT) algorithm.</div>Aaniyohttps://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&diff=6911Discrete Cosine Transform2007-02-02T06:40:46Z<p>Aaniyo: </p>
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<div>A '''discrete cosine transform''' (DCT) is a Fourier-related transform similar to the [[discrete Fourier transform]] (DFT), but using only real numbers. DCTs are equivalent to DFTs of roughly twice the length, operating on real data with even symmetry (since the Fourier transform of a real and even function is real and even), where in some variants the input and/or output data are shifted by half a sample. There are eight standard DCT variants, of which four are common.</div>Aaniyo