| 000 | a | ||
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| 999 |
_c10578 _d10578 |
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| 003 | OSt | ||
| 005 | 20191217150421.0 | ||
| 008 | 191217b xxu||||| |||| 00| 0 eng d | ||
| 040 |
_aAIKTC-KRRC _cAIKTC-KRRC |
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| 100 |
_911239 _aSingh, Abhishek Kumar |
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| 245 | _aReview of Video Compression Technique of an Efficient Rate-Distortion | ||
| 250 | _aVol.4(2), Jul-Dec | ||
| 260 |
_aNew Delhi _bJournals Pub _c2018 |
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| 300 | _a1-8p. | ||
| 520 | _aThe digital video compression technology has been gaining popularity for many years. Today, when people enjoy HDTV (high-definition television), movie broadcasting through the Internet, or the digital music, such as MP3, the convenience that the digital video industry brings to us cannot be forgotten. All of these should attribute to the advances in compression technology, enhancement on mass storage media, or streaming video/audio services. Most rate-distortion optimized division way of video writing involve associate in nursing thorough search method to see the optimal quantal remodel coefficients of a writing block and square measure computationally more costlier than the conventional quantization. In this study, we present a novel analytical method that directly solves the rate-distortion optimization problem in a closed form by employing a rate model for entropy coding. It has the appealing property of low quality and is simple to implement. | ||
| 650 | 0 |
_94619 _aEXTC Engineering |
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| 700 |
_911176 _aJoon, Rakesh |
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| 773 | 0 |
_dNew Delhi Journals pub _tInternational journal of digital communication and analog signals |
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| 856 |
_uhttp://ecc.journalspub.info/index.php?journal=JDCAS&page=article&op=view&path%5B%5D=974 _yClick here |
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| 942 |
_2ddc _cAR |
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