<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>This paper describes mathematical frameworks on temporal and spatial predictive processing in the motion-compensated video compression. Firstly, the coding gain over intra coding is derived, regarding the bit allocation algorithm and Lagrange multiplier method. The optimal ordering of three different picture types (I, P and B pictures) is clarified according to image source characteristics. Secondly, a novel framework with the block-based multihypothesis motion-compensated optimal coding gain and bit allocation are derived in a closed-form expression.</p></abstract>

This paper describes mathematical frameworks on temporal and spatial predictive processing in the motion-compensated video compression. Firstly, the coding gain over intra coding is derived, regarding the bit allocation algorithm and Lagrange multiplier method. The optimal ordering of three different picture types (I, P and B pictures) is clarified according to image source characteristics. Secondly, a novel framework with the block-based multihypothesis motion-compensated optimal coding gain and bit allocation are derived in a closed-form expression.

Analysis of Coding Gain and Optimal Bit Allocation in Motion-Compensated Video Compression

Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11040 Belgrade, Serbia

Journal of Electrical Engineering

This paper describes mathematical frameworks on temporal and spatial predictive processing in the motion-compensated video compression. Firstly, the coding...

Analysis of Coding Gain and Optimal Bit Allocation in Motion-Compensated Video Compression

Online veröffentlicht: 20. Apr. 2012

Seitenbereich: 129 - 132

DOI: https://doi.org/10.2478/v10187-012-0020-z

Schlüsselwörter
coding gain, bit allocation, video, compression, Lagrangian method, pictures

This content is open access.

Analysis of Coding Gain and Optimal Bit Allocation in Motion-Compensated Video Compression

Online veröffentlicht: 20. Apr. 2012

Seitenbereich: 129 - 132

DOI: https://doi.org/10.2478/v10187-012-0020-z

Schlüsselwörtercoding gain, bit allocation, video, compression, Lagrangian method, pictures

This content is open access.

Schlüsselwörter
coding gain, bit allocation, video, compression, Lagrangian method, pictures