Offset trace-based video quality evaluation after network transport

Patrick Seeling; Martin Reisslein; Frank H P Fitzek

doi:10.4304/jmm.1.2.1-13

Offset trace-based video quality evaluation after network transport

Patrick Seeling, Martin Reisslein, Frank H P Fitzek

Electrical Engineering

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

Video traces contain information about encoded video frames, such as frame sizes and qualities, and provide a convenient method to conduct multimedia networking research. Although widely used in networking research, these traces do not allow to determine the video quality in an accurate manner after networking transport that includes losses and delays. In this work, we provide (i) an overview of frame dependencies that have to be taken into consideration when working with video traces, (ii) an algorithmic approach to combine traditional video traces and offset distortion traces to determine the video quality or distortion after lossy network transport, (iii) offset distortion and quality characteristics and (iv) the offset distortion trace format and tools to create offset distortion traces.

Original language	English (US)
Pages (from-to)	1-13
Number of pages	13
Journal	Journal of Multimedia
Volume	1
Issue number	2
DOIs	https://doi.org/10.4304/jmm.1.2.1-13
State	Published - 2006

Keywords

Offset distortion
PSNR
RMSE
Scalable video coding
Video traces

ASJC Scopus subject areas

Media Technology
Artificial Intelligence
Electrical and Electronic Engineering

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10.4304/jmm.1.2.1-13

Cite this

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abstract = "Video traces contain information about encoded video frames, such as frame sizes and qualities, and provide a convenient method to conduct multimedia networking research. Although widely used in networking research, these traces do not allow to determine the video quality in an accurate manner after networking transport that includes losses and delays. In this work, we provide (i) an overview of frame dependencies that have to be taken into consideration when working with video traces, (ii) an algorithmic approach to combine traditional video traces and offset distortion traces to determine the video quality or distortion after lossy network transport, (iii) offset distortion and quality characteristics and (iv) the offset distortion trace format and tools to create offset distortion traces.",

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AB - Video traces contain information about encoded video frames, such as frame sizes and qualities, and provide a convenient method to conduct multimedia networking research. Although widely used in networking research, these traces do not allow to determine the video quality in an accurate manner after networking transport that includes losses and delays. In this work, we provide (i) an overview of frame dependencies that have to be taken into consideration when working with video traces, (ii) an algorithmic approach to combine traditional video traces and offset distortion traces to determine the video quality or distortion after lossy network transport, (iii) offset distortion and quality characteristics and (iv) the offset distortion trace format and tools to create offset distortion traces.

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KW - PSNR

KW - RMSE

KW - Scalable video coding

KW - Video traces

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Offset trace-based video quality evaluation after network transport

Abstract

Keywords

ASJC Scopus subject areas

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