Detail publikačního výsledku

Spectrum-based approach to classifying video sequences for encoding experiments

SLANINA, M.

Originální název

Spectrum-based approach to classifying video sequences for encoding experiments

Anglický název

Spectrum-based approach to classifying video sequences for encoding experiments

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

With the evolution of video compression algorithms, transmission techniques as well as error concealment tools, benchmarking is essential to assess the performance of emerging techniques. This paper discusses the selection of test material in order to obtain a representative set of different scene character- istics. While the most common approach is relying on the Spatial Information and Temporal Information parameters, our results show that the spatio-temporal spectrum information can be used to classify sequences with high reliability while maintaining low computational complexity.

Anglický abstrakt

With the evolution of video compression algorithms, transmission techniques as well as error concealment tools, benchmarking is essential to assess the performance of emerging techniques. This paper discusses the selection of test material in order to obtain a representative set of different scene character- istics. While the most common approach is relying on the Spatial Information and Temporal Information parameters, our results show that the spatio-temporal spectrum information can be used to classify sequences with high reliability while maintaining low computational complexity.

Klíčová slova

Video compression, H.264, test procedure

Klíčová slova v angličtině

Video compression, H.264, test procedure

Autoři

SLANINA, M.

Rok RIV

2019

Vydáno

20.06.2018

ISBN

978-1-5386-6978-5

Kniha

2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)

Strany od

1

Strany do

5

Strany počet

5

BibTex

@inproceedings{BUT148671,
  author="Martin {Slanina}",
  title="Spectrum-based approach to classifying video sequences for encoding experiments",
  booktitle="2018 25th International Conference on Systems, Signals and Image Processing (IWSSIP)",
  year="2018",
  pages="1--5",
  doi="10.1109/IWSSIP.2018.8439344",
  isbn="978-1-5386-6978-5"
}

Dokumenty

MS_iwssip2018_revised