Low complexity scalable HEVC using single loop decoding
Autoren
Parameter
Mehr zum Buch
In scalable video coding, multiple versions of the same video which can differ in resolution, bitrate and framerate are encoded into one scalable bitstream which allows for an efficient compression of all representations. While the latest scalable video coding standard Scalable High Efficiency Video Coding (SHVC) enables a highly efficient compression it also significantly increases the decoder complexity compared to non-scalable coding in case of quality scalability. In this work, SHVC is extended by a flexible inter layer prediction scheme and an inter layer refinement method which allows for a binary mapping between arbitrary quantizer step sizes between the layers. It is shown how all of these modifications can significantly reduce the required decoder complexity to much more reasonable values.
Buchkauf
Low complexity scalable HEVC using single loop decoding, Christian Feldmann
- Sprache
- Erscheinungsdatum
- 2018
Lieferung
Zahlungsmethoden
Deine Änderungsvorschläge
- Titel
- Low complexity scalable HEVC using single loop decoding
- Sprache
- Englisch
- Autor*innen
- Christian Feldmann
- Verlag
- Shaker Verlag
- Erscheinungsdatum
- 2018
- ISBN10
- 3844062858
- ISBN13
- 9783844062854
- Reihe
- Aachen series on multimedia and communications engineering
- Kategorie
- Informatik & Programmierung
- Beschreibung
- In scalable video coding, multiple versions of the same video which can differ in resolution, bitrate and framerate are encoded into one scalable bitstream which allows for an efficient compression of all representations. While the latest scalable video coding standard Scalable High Efficiency Video Coding (SHVC) enables a highly efficient compression it also significantly increases the decoder complexity compared to non-scalable coding in case of quality scalability. In this work, SHVC is extended by a flexible inter layer prediction scheme and an inter layer refinement method which allows for a binary mapping between arbitrary quantizer step sizes between the layers. It is shown how all of these modifications can significantly reduce the required decoder complexity to much more reasonable values.