<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
	<id>https://wiki.multimedia.cx/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Aaniyo</id>
	<title>MultimediaWiki - User contributions [en]</title>
	<link rel="self" type="application/atom+xml" href="https://wiki.multimedia.cx/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Aaniyo"/>
	<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php/Special:Contributions/Aaniyo"/>
	<updated>2026-07-21T13:42:07Z</updated>
	<subtitle>User contributions</subtitle>
	<generator>MediaWiki 1.39.5</generator>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Category:Video_Editor&amp;diff=6925</id>
		<title>Category:Video Editor</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Category:Video_Editor&amp;diff=6925"/>
		<updated>2007-02-02T07:05:35Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Video Editing Softwares&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=VirtualDub&amp;diff=6924</id>
		<title>VirtualDub</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=VirtualDub&amp;diff=6924"/>
		<updated>2007-02-02T07:04:59Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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]].&lt;br /&gt;
&lt;br /&gt;
[[Category: Video Editor]]&lt;br /&gt;
[[Category: Multimedia Programs]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=User_talk:Aaniyo&amp;diff=6923</id>
		<title>User talk:Aaniyo</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=User_talk:Aaniyo&amp;diff=6923"/>
		<updated>2007-02-02T07:00:29Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Feel free to post me a comment :D&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=User:Aaniyo&amp;diff=6922</id>
		<title>User:Aaniyo</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=User:Aaniyo&amp;diff=6922"/>
		<updated>2007-02-02T07:00:00Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Learning the theories of Multimedia :D&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=JPEG-LS&amp;diff=6921</id>
		<title>JPEG-LS</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=JPEG-LS&amp;diff=6921"/>
		<updated>2007-02-02T06:59:09Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Multimedia-related Standards Bodies]]&lt;br /&gt;
[[Category:Container Formats]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Vector_Quantization&amp;diff=6920</id>
		<title>Vector Quantization</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Vector_Quantization&amp;diff=6920"/>
		<updated>2007-02-02T06:58:02Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Compression Theory]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Huffman&amp;diff=6919</id>
		<title>Huffman</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Huffman&amp;diff=6919"/>
		<updated>2007-02-02T06:57:28Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Compression Theory]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&amp;diff=6918</id>
		<title>Discrete Fourier transform</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&amp;diff=6918"/>
		<updated>2007-02-02T06:57:05Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Compression Theory]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&amp;diff=6917</id>
		<title>Discrete Cosine Transform</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&amp;diff=6917"/>
		<updated>2007-02-02T06:56:41Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;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.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Category:Compression Theory]]&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=JPEG-LS&amp;diff=6916</id>
		<title>JPEG-LS</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=JPEG-LS&amp;diff=6916"/>
		<updated>2007-02-02T06:52:15Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Vector_Quantization&amp;diff=6915</id>
		<title>Vector Quantization</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Vector_Quantization&amp;diff=6915"/>
		<updated>2007-02-02T06:48:13Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=JPEG_2000&amp;diff=6914</id>
		<title>JPEG 2000</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=JPEG_2000&amp;diff=6914"/>
		<updated>2007-02-02T06:46:50Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Huffman&amp;diff=6913</id>
		<title>Huffman</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Huffman&amp;diff=6913"/>
		<updated>2007-02-02T06:45:34Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&amp;diff=6912</id>
		<title>Discrete Fourier transform</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Discrete_Fourier_transform&amp;diff=6912"/>
		<updated>2007-02-02T06:43:10Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
	<entry>
		<id>https://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&amp;diff=6911</id>
		<title>Discrete Cosine Transform</title>
		<link rel="alternate" type="text/html" href="https://wiki.multimedia.cx/index.php?title=Discrete_Cosine_Transform&amp;diff=6911"/>
		<updated>2007-02-02T06:40:46Z</updated>

		<summary type="html">&lt;p&gt;Aaniyo: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;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.&lt;/div&gt;</summary>
		<author><name>Aaniyo</name></author>
	</entry>
</feed>