Enhanced quality adaptation strategies for scalable video

Mikko Uitto, Janne Vehkaperä

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)

Abstract

Technology today favors tightly compressed, but still extremely high quality video transmitted wireless to mobile devices. Users want to access the video data anytime, anywhere, which sets challenges in the highly-loaded network to provide best possible video quality for the end user. Naturally, in the era of high-definition, users want to experience high quality from their mobile devices even when the channel capacity fluctuates drastically due to congestion. Video adaptation to bandwidth fluctuations plays an important role in modern video transmission in order to maximize the best available video quality, but again to use available bandwidth efficiently. In this paper, we aim to find the best strategy for how the adaptation should be performed, to find sufficient adaptation period and number of layers that maximize the compression efficiency, usage of channel resources and objective quality in video streaming. For the compression, we utilize Scalable Video Coding (SVC), which provides layered video structure and enables video adaptation to bandwidth fluctuations. The results indicate that long adaptation period with complex content encoded for two enhancement layers brings essential channel savings while also maintaining the compression efficiency and objective quality in adequate level.
Original languageEnglish
Title of host publicationThe 13th IEEE International Symposium on Signal Processing and Information Technology
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages74-79
ISBN (Print)978-1-4799-4796-6
DOIs
Publication statusPublished - 2013
MoE publication typeA4 Article in a conference publication
EventThe 13th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2013 - Athens, Greece
Duration: 12 Dec 201315 Dec 2013
Conference number: 13

Conference

ConferenceThe 13th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2013
Abbreviated titleISSPIT 2013
CountryGreece
CityAthens
Period12/12/1315/12/13

Fingerprint

Bandwidth
Mobile devices
Scalable video coding
Video streaming
Channel capacity

Keywords

  • SVC
  • scalable video coding
  • video transmission
  • QoE
  • objective quality

Cite this

Uitto, M., & Vehkaperä, J. (2013). Enhanced quality adaptation strategies for scalable video. In The 13th IEEE International Symposium on Signal Processing and Information Technology (pp. 74-79). Institute of Electrical and Electronic Engineers IEEE. https://doi.org/10.1109/ISSPIT.2013.6781857
Uitto, Mikko ; Vehkaperä, Janne. / Enhanced quality adaptation strategies for scalable video. The 13th IEEE International Symposium on Signal Processing and Information Technology. Institute of Electrical and Electronic Engineers IEEE, 2013. pp. 74-79
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Uitto, M & Vehkaperä, J 2013, Enhanced quality adaptation strategies for scalable video. in The 13th IEEE International Symposium on Signal Processing and Information Technology. Institute of Electrical and Electronic Engineers IEEE, pp. 74-79, The 13th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2013, Athens, Greece, 12/12/13. https://doi.org/10.1109/ISSPIT.2013.6781857

Enhanced quality adaptation strategies for scalable video. / Uitto, Mikko; Vehkaperä, Janne.

The 13th IEEE International Symposium on Signal Processing and Information Technology. Institute of Electrical and Electronic Engineers IEEE, 2013. p. 74-79.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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Uitto M, Vehkaperä J. Enhanced quality adaptation strategies for scalable video. In The 13th IEEE International Symposium on Signal Processing and Information Technology. Institute of Electrical and Electronic Engineers IEEE. 2013. p. 74-79 https://doi.org/10.1109/ISSPIT.2013.6781857