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Related Experiment Video

Updated: Jun 3, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

Rate control scheme for consistent video quality in scalable video codec.

Chan-Won Seo¹, Jong-Ki Han, Truong Q Nguyen

¹Department of Information and Communication Engineering, Sejong University, Seoul, Korea. sachonwon@gmail.com

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

|March 18, 2011

Summary

This summary is machine-generated.

This study introduces a new algorithm for scalable video coding to ensure consistent visual quality across devices and networks. The method adjusts enhancement layer quantization parameters, reducing noticeable video quality fluctuations in streaming services.

Related Experiment Videos

Last Updated: Jun 3, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

Area of Science:

Computer Science
Electrical Engineering
Multimedia Systems

Background:

Multimedia delivery to mobile devices faces challenges from fluctuating bandwidth and diverse device capabilities.
Scalable video coding, an extension of H.264/AVC, addresses these issues by adapting bitstreams for varying network conditions and terminal types.
Video quality fluctuation in scalable multimedia systems significantly degrades user visual perception.

Purpose of the Study:

To propose an efficient algorithm for controlling video quality in scalable multimedia communication systems.
To maintain consistent video quality or minimize distortion variation throughout a video sequence.
To provide a quality control function specifically for applications supporting scalability.

Main Methods:

The proposed algorithm determines the quantization parameter for the enhancement layer.
It utilizes a closed-form formula incorporating residual data and quantization error from the base layer.
The algorithm is applied to each frame for real-time quality control.

Main Results:

The developed algorithm effectively controls video quality in the enhancement layer.
It ensures consistent frame quality throughout the entire video sequence.
The parameter decision process is computationally simple and suitable for real-time application.

Conclusions:

The proposed algorithm offers a practical solution for managing video quality in scalable systems.
It enhances the user experience in streaming services and IPTV by reducing quality fluctuations.
This method provides a valuable tool for optimizing video delivery over variable networks.