Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control

Dan Grois,Ofer Hadar

doi:10.1155/2013/281593

Abstract

This work relates to the regions-of-interest (ROI) coding that is a desirable feature in future applications based on the scalable video coding, which is an extension of the H.264/MPEG-4 AVC standard. Due to the dramatic technological progress, there is a plurality of heterogeneous devices, which can be used for viewing a variety of video content. Devices such as smartphones and tablets are mostly resource-limited devices, which make it difficult to display high-quality content. Usually, the displayed video content contains one or more ROI(s), which should be adaptively selected from the preencoded scalable video bitstream. Thus, an efficient scalable ROI video coding scheme is proposed in this work, thereby enabling the extraction of the desired regions-of-interest and the adaptive setting of the desirable ROI location, size, and resolution. In addition, an adaptive bit-rate control is provided for the region-of-interest scalable video coding. The performance of the presented techniques is demonstrated and compared with the joint scalable video model reference software (JSVM 9.19), thereby showing significant bit-rate savings as a tradeoff for the relatively low PSNR degradation.

Highlights

Significant changes have taken places in the content distribution network industry
This work relates to the regions-of-interest (ROI) coding that is a desirable feature in future applications based on the scalable video coding, which is an extension of the H.264/MPEG-4 AVC standard
Due to the dramatic technological progress, there is a plurality of heterogeneous devices, which can be used for viewing a variety of video content

Summary

Introduction

Significant changes have taken places in the content distribution network industry. Other users having a larger mobile device screen can be suggested to extract other ROI in order to receive better video stream resolution To fulfill these requirements, it would be Figure 2: Defining ROIs with different spatial resolutions (e.g., CIF, SD/4CIF, 720 p resolutions) to be provided within a Scalable Video Coding stream. Bitstreams that are adapted by this ROI extraction process have a significantly lower bit-rate than their original versions While this has, in general, a profound impact on the decoded video sequence quality, this impact is marginal in case of a fixed camera and static background. A novel dynamically adjustable and scalable ROI video coding scheme is suggested, enabling to adaptively and efficiently define the desirable ROI location, size, resolution, and bit-rate.

Extracting the Desired ROI Scalability according to User-Predefined Settings

Adaptive Bit-Rate Control ROI Scalable Video Coding

Quality Scalability Evaluation

Findings

Conclusions