Publication

Hybrid video coding using bi-dimensional matching pursuit

Pierre Vandergheynst
2003
Reports

Abstract

In this report we propose a new coding scheme based on the Matching Pursuit algorithm and exploiting some of the new features introduced by H.264 for motion estimation. Main points of this work are the design of a redundant dictionary suitable for coding displaced frame dierences, the use of fast techniques for atom selection, which work in the Fourier domain and exploit the spatial localization of the atoms, the adaptive coding scheme aimed at optimizing the resouce allocation for transmitting the atom parameters and the Rate-Distortion optimization.

Official source

https://infoscience.epfl.ch/entities/publication/7e91f5e1-2702-4eb3-8b4b-a5297c40a767

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Pierre Vandergheynst
2003
Reports

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/7e91f5e1-2702-4eb3-8b4b-a5297c40a767

About this result

Related concepts (31)

Video coding format

A video coding format (or sometimes video compression format) is a content representation format for storage or transmission of digital video content (such as in a data file or bitstream). It typically uses a standardized video compression algorithm, most commonly based on discrete cosine transform (DCT) coding and motion compensation. A specific software, firmware, or hardware implementation capable of compression or decompression to/from a specific video coding format is called a video codec.

Frequency domain

In mathematics, physics, electronics, control systems engineering, and statistics, the frequency domain refers to the analysis of mathematical functions or signals with respect to frequency, rather than time. Put simply, a time-domain graph shows how a signal changes over time, whereas a frequency-domain graph shows how the signal is distributed within different frequency bands over a range of frequencies. A frequency-domain representation consists of both the magnitude and the phase of a set of sinusoids (or other basis waveforms) at the frequency components of the signal.

Fourier analysis

In mathematics, Fourier analysis (ˈfʊrieɪ,_-iər) is the study of the way general functions may be represented or approximated by sums of simpler trigonometric functions. Fourier analysis grew from the study of Fourier series, and is named after Joseph Fourier, who showed that representing a function as a sum of trigonometric functions greatly simplifies the study of heat transfer. The subject of Fourier analysis encompasses a vast spectrum of mathematics.

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