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Motion-based object segmentation and estimation using the MDL principle.

H Zheng¹, S D Blostein

¹Dept. of Electr. Eng., Queen's Univ., Kingston, Ont.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 1995

Summary

This study introduces object-oriented motion compensation for video coding, enhancing compression efficiency. By integrating object segmentation with motion estimation, significant gains in ultralow bit-rate transmission are achieved.

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Area of Science:

Digital image processing
Video compression
Computer vision

Background:

Increasing demand for ultralow bit-rate video transmission.
Limitations of traditional block-oriented motion compensation.

Purpose of the Study:

Quantify coding gains from object-oriented motion compensation.
Develop a tightly coupled framework for motion estimation and object segmentation.
Minimize source bit rate for efficient video image transmission.

Main Methods:

Formulation of moving object segmentation and motion estimation.
Application of the Minimum Description Length (MDL) principle.
Construction of a new objective function for suboptimal segmentation and estimation.
Representation of objects by boundaries, affine motion parameters, and prediction error.

Main Results:

Demonstrated significant potential coding gain using object-oriented motion-compensated coding.
Experimental comparisons show advantages over block-oriented schemes.
Effective integration of segmentation and motion estimation.

Conclusions:

Object-oriented motion compensation offers substantial improvements for video coding.
The proposed MDL-based framework effectively reduces bit rates.
This approach is promising for future ultralow bit-rate video transmission.