Rate-distortion optimal bit allocation for object-based video coding

In object-based video encoding, the encoding of the video data is decoupled into the encoding of shape, motion, and texture information, which enables certain functionalities, like content-based interactivity and content-based scalability. The fundamental problem, however, of how to jointly encode t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2005-09, Vol.15 (9), p.1113-1123
Main Authors: Haohong Wang, Schuster, G.M., Katsaggelos, A.K.
Format: Article
Language:English
Subjects:
Allocations
Applied sciences
Bit rate
Coding
Distortion
Dynamic programming
Encoding
Exact sciences and technology
Gain
Image processing
Information, signal and communications theory
Lagrangian functions
Layout
MPEG 4 Standard
MPEG-4
object-based video
Optimization
Rate-distortion
Scalability
Shape
shape coding
Signal processing
Studies
Surface layer
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Texture
Transmission and modulation (techniques and equipments)
Video coding
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In object-based video encoding, the encoding of the video data is decoupled into the encoding of shape, motion, and texture information, which enables certain functionalities, like content-based interactivity and content-based scalability. The fundamental problem, however, of how to jointly encode this separate information to reach the best coding efficiency has not been studied thoroughly. In this paper, we present an operational rate-distortion optimal scheme for the allocation of bits among shape, motion, and texture in object-based video encoding. Our approach is based on Lagrangian relaxation and dynamic programming. We implement our algorithm on the MPEG-4 video verification model, although it is applicable to any object-based video encoding scheme. The performance is accessed utilizing a proposed metric that jointly captures the distortion due to the encoding of the shape and texture. Experimental results demonstrate that the gains of lossy shape encoding depend on the percentage the shape bits occupy out of the total bit budget. This gain may be small or may be realized at very low bit rates for certain typical scenes.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2005.852629