Publication

Adaptive Frame Interpolation for Wyner-Ziv Coding

Nikolaos Thomos
2007
Conference Papers

Abstract

This paper addresses the problem of frame interpolation for Wyner-Ziv video coding. A novel frame interpolation method based on block-adaptive matching algorithm for motion estimation is presented. This scheme enables block size adaptation to local activity within frames using block merging and splitting techniques. The efficiency of the proposed method is evaluated in a Wyner-Ziv video coding scheme. The experimental results demonstrate the superiority of the proposed method over existing frame interpolation techniques.

Official source

https://infoscience.epfl.ch/entities/publication/6cdad4f3-50dd-4a18-932b-6ebcafef909b

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Nikolaos Thomos
2007
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/6cdad4f3-50dd-4a18-932b-6ebcafef909b

About this result

Related concepts (9)

Motion compensation

Motion compensation in computing, is an algorithmic technique used to predict a frame in a video, given the previous and/or future frames by accounting for motion of the camera and/or objects in the video. It is employed in the encoding of video data for video compression, for example in the generation of MPEG-2 files. Motion compensation describes a picture in terms of the transformation of a reference picture to the current picture. The reference picture may be previous in time or even from the future.

Motion estimation

Motion estimation is the process of determining motion vectors that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions but the images are a projection of the 3D scene onto a 2D plane. The motion vectors may relate to the whole image (global motion estimation) or specific parts, such as rectangular blocks, arbitrary shaped patches or even per pixel.

Fractal compression

Fractal compression is a lossy compression method for s, based on fractals. The method is best suited for textures and natural images, relying on the fact that parts of an image often resemble other parts of the same image. Fractal algorithms convert these parts into mathematical data called "fractal codes" which are used to recreate the encoded image. Iterated function system Fractal image representation may be described mathematically as an iterated function system (IFS).

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