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Trellis quantization

Trellis quantization is an algorithm that can improve data compression in DCT-based encoding methods. It is used to optimize residual DCT coefficients after motion estimation in lossy video compression encoders such as Xvid and x264. Trellis quantization reduces the size of some DCT coefficients while recovering others to take their place. This process…

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Overview

Data compression DCT Motion estimation Lossy Xvid

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Overview

Data compression
DCT Discrete cosine transform
Motion estimation Motion compensation
Lossy Lossy compression
Xvid
X264
Rate-distortion Rate distortion
PSNR
Bitrate

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Trellis quantization

Nodes11

Edges10

Triples5

Avg. degree1.82

Density0.181818

Components1

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Trellis quantization

Top relations

related to References · 2

Trellis quantization → Trellis, VirtualDub/Xvid

is a · 1

Trellis quantization → algorithm that can improve data compression in DCT-based encoding methods

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Important terminology

trellis quantization compression coefficients dct data xvid lossy x264 rate-distortion psnr bitrate algorithm improve dct-based encoding methods used optimize residual

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Trellis quantization	is a	algorithm that can improve data compression in DCT-based encoding methods	0.90	text
Xvid	instance of	It is used to optimize residual DCT coefficients after motion estimation in lossy video compression encoders	0.80	text
x264	instance of	It is used to optimize residual DCT coefficients after motion estimation in lossy video compression encoders	0.80	text
Trellis quantization	related to References	VirtualDub/Xvid	0.60	section
Trellis quantization	related to References	Trellis	0.60	section

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Min side: 3

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