JOURNAL ARTICLE

Packet-loss resilient Internet video using MPEG-4 fine granular scalability

Abstract

Fine granular scalability (FGS) has been adopted by the MPEG-4 standard as the core video-compression method for streaming applications. From its inception, the FGS scalability structure was designed to be packet-loss resilient especially under unequal packet-loss protection (UPP). However, since the introduction of FGS, there has not been a comprehensive study evaluating its packet-loss resilience under unrecoverable packet losses that are common in Internet streaming applications. We evaluate two important aspects of FGS packet-loss resilience. First, we study the impact of applying UPP between the base- and enhancement-layers of FGS-based streams, and we compare equal packet-loss protection (EPP) with UPP scenarios. Second, we introduce the notion of fine grained loss protection (FGLP), which is suitable for the FGS enhancement-layer, and we develop an analytical framework for evaluating FGLP bounds. Based on these bounds, we show the impact of applying fine-grained protection to the FGS enhancement-layer for different types of video sequences and over a wide range of bit-rates and packet-loss ratios. As illustrated by our extensive simulation results, applying (a) UPP between the base- and enhancement layers and (b) fine grained loss protection for the FGS enhancement-layer can provide significant resilience under moderate-to-high packet-loss ratios (e.g. 5-10%).

Keywords:
Packet loss Computer science Scalability Resilience (materials science) Network packet Computer network Deep packet inspection The Internet Materials science

Metrics

5
Cited By
0.57
FWCI (Field Weighted Citation Impact)
8
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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