Authored book

Energy Efficient Video Decoding

Publication Details
Author(s): Herglotz C
Edition name or number: 150
Publisher: Dr. Hut
Publishing place: München
Publication year: 2018
ISBN: 978-3-8439-3461-9
Language: English


In the past years, video streaming services for mobile applications have become a popular
application for consumers all over the world. Streaming services like YouTube or
Netflix provide the possibility to watch movies, short films, or television (TV) programs
anywhere and anytime. As mobile devices depend on batteries for energy supply, it is
highly desirable to have energy efficient software and hardware such that the operating
time is as high as possible. In this work, the energy needed for decoding a given coded
video is addressed in detail. Measurements indicate that during streaming and playback,
the major part of the energy the device consumes is needed for the decoding process if a
software decoder is used. Hence, research aiming at reducing this energy is a worthwhile
In this respect, three major topics are addressed in this work. The first topic deals with
the energy analysis of practical decoding systems. Therefore, a measurement setup is
constructed and discussed which is able to perform real energy measurements for various
decoders and codecs. The results are used to compare the energy efficiency such that
optimal decoders can be found in state-of-the-art decoder devices and implementations.
The second topic addresses the modeling of this decoding energy. Therefore, the coded
videos are analyzed for properties like resolution, bitrate, and employed compression tools.
Then, the relation between these properties and the decoding energy is evaluated. As a
result, it is shown that these properties can be used to accurately estimate the complete
decoding energy of a given coded bit stream. In a practical application, these estimations
can be used to give an early feedback on the remaining operating time of the device.
Furthermore, these models can be used to determine the energy consumption that is
related to certain compression tools. With this information, the energy efficiency of the
tools can be compared.
Finally, the third topic deals with another application for such models. It is shown that
they can be used to encode bit streams that consume less energy on the decoder side.
Therefore, an encoder is developed that takes the decoding energy as estimated by the
models into account. As a result, it is shown that at the expense of a bitrate increase of
15%, the decoding energy can be reduced by 15% on average. Highest savings are shown
to reach 25%.

How to cite
APA: Herglotz, C. (2018). Energy Efficient Video Decoding. München: Dr. Hut.

MLA: Herglotz, Christian. Energy Efficient Video Decoding. München: Dr. Hut, 2018.

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