Constructing a No-Reference H.264/AVC Bitstream-based Video Quality Metric using Genetic Programming-based Symbolic Regression
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- @Article{Staelens:2013:ieeeCSVT,
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author = "Nicolas Staelens and Dirk Deschrijver and
Ekaterina Vladislavleva and Brecht Vermeulen and Tom Dhaene and
Piet Demeester",
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journal = "IEEE Transactions on Circuits and Systems for Video
Technology",
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title = "Constructing a No-Reference {H.264/AVC}
Bitstream-based Video Quality Metric using Genetic
Programming-based Symbolic Regression",
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year = "2013",
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volume = "23",
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number = "8",
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pages = "1322--1333",
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keywords = "genetic algorithms, genetic programming, H.264/AVC,
High Definition, No-Reference, Objective video quality
metric, Quality of Experience (QoE)",
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DOI = "doi:10.1109/TCSVT.2013.2243052",
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ISSN = "1051-8215",
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abstract = "In order to ensure optimal Quality of Experience
towards the end-users during video streaming, automatic
video quality assessment becomes an important
field-of-interest to video service providers. Objective
video quality metrics try to estimate perceived quality
with a high accuracy and in an automated manner. In
traditional approaches, these metrics model the complex
properties of the Human Visual System. More recently,
however, it has been shown that Machine Learning
approaches can also yield competitive results. In this
article, we present a novel No-Reference
bitstream-based objective video quality metric that is
constructed by Genetic Programming-based Symbolic
Regression. A key benefit of this approach is that it
calculates reliable white-box models that allow us to
determine the importance of the parameters.
Additionally, these models can provide human insight
into the underlying principles of subjective video
quality assessment. Numerical results show that
perceived quality can be modelled with a high accuracy
using only parameters extracted from the received video
bitstream.",
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notes = "Also known as \cite{6422370}",
- }
Genetic Programming entries for
Nicolas Staelens
Dirk Deschrijver
Ekaterina (Katya) Vladislavleva
Brecht Vermeulen
Tom Dhaene
Piet Demeester
Citations