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Related Experiment Video

Updated: May 25, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

H.264/SVC mode decision based on optimal stopping theory.

Tiesong Zhao¹, Sam Kwong, Hanli Wang

¹Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong. tiesong.zhao@cityu.edu.hk

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

|February 2, 2012

Summary

This study introduces optimal stopping theory for fast mode decision in H.264/Scalable Video Coding. The method reduces encoding complexity while maintaining high coding performance.

Related Experiment Videos

Last Updated: May 25, 2026

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

Area of Science:

Computer Science
Information Theory
Signal Processing

Background:

Fast mode decision algorithms are crucial for video encoder efficiency.
Existing methods aim to reduce complexity with minimal impact on coding performance.

Purpose of the Study:

To apply optimal stopping theory for fast mode decision in H.264/Scalable Video Coding (SVC).
To develop a constrained model for initializing candidate modes and predicting early termination.

Main Methods:

Utilized optimal stopping theory to formulate a constrained decision problem.
Developed a model to initialize candidate mode lists and predict early termination points.
Conducted comprehensive simulations to evaluate the proposed method.

Main Results:

The proposed method effectively reduces encoding complexity.
Coding efficiency is maintained without significant sacrifice.
A good balance between complexity reduction and coding performance is achieved.

Conclusions:

Optimal stopping theory provides an effective framework for fast mode decision in H.264/SVC.
The developed model successfully initializes candidate modes and predicts early termination.
The approach offers a practical solution for efficient video encoding.