Block-based motion field segmentation for video coding

Authors:
Yong-Ren Huang;Chung-Ming Kuo;Feng-Chung Huang
Affiliations:
Department of Information Engineering, I-Shou University Tahsu, Kaohsiung, 840, Taiwan;Department of Information Engineering, I-Shou University Tahsu, Kaohsiung, 840, Taiwan;Department of Information Engineering, I-Shou University Tahsu, Kaohsiung, 840, Taiwan
Venue:
Journal of Visual Communication and Image Representation
Year:
2005

Citing 13
Cited 1

An Investigation of Smoothness Constraints for the Estimation of Displacement Vector Fields from Image Sequences

IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation of textured images using Gibbs random fields

Computer Vision, Graphics, and Image Processing
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation based on object oriented mapping parameter estimation

Signal Processing
MPEG: a video compression standard for multimedia applications

Communications of the ACM - Special issue on digital multimedia systems
Bayesian Estimation of Motion Vector Fields

IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised segmentation of noisy and textured images using Markov random fields

CVGIP: Graphical Models and Image Processing
A New Mesh-Based Temporal-Spatial Segmentation for Image Sequence

COMPSAC '00 24th International Computer Software and Applications Conference
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous motion estimation and segmentation

IEEE Transactions on Image Processing
MPEG and multimedia communications

IEEE Transactions on Circuits and Systems for Video Technology
A block-based MAP segmentation for image compressions

IEEE Transactions on Circuits and Systems for Video Technology
Predictive motion-field segmentation for image sequence coding

IEEE Transactions on Circuits and Systems for Video Technology

A multi-resolution approach for massively-parallel hardware-friendly optical flow estimation

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the past few years, motion compensation has been widely used in the coding of image sequences. Most of motion estimation and compensation schemes belong to block-based framework. The framework simplifies the complexity of motion estimation, but gives over constraints to the motion field, which results in worse accuracy on the boundary of moving objects. This paper presents a novel technique for raising motion field accuracy. It uses several pre-defined pattern types to segment the motion fields of the previous frame of a sequence. The segmentation is based on the MAP framework that uses iterative method to obtain the solution. In addition, we develop a predictive scheme to predict the location of motion field discontinuities in the current frame, which further reduces the side information for the representation of segmentation.