Fraunhofer-Gesellschaft

Publica

Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Block adaptive selection of multiple core transforms for video coding

 
: De-Luxan-Hernandez, S.; Marpe, D.; Schwarz, H.; Müller, K.-R.; Wien, M.; Ohm, J.-R.; Wiegand, T.

:

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
Picture Coding Symposium, PCS 2016. Proceedings : 4th-7th December 2016, Nürnberg, Germany
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-5966-9
ISBN: 978-1-5090-5965-2
ISBN: 978-1-5090-5967-6 (Print)
S.200-204
Picture Coding Symposium (PCS) <32, 2016, Nürnberg>
Englisch
Konferenzbeitrag
Fraunhofer HHI ()

Abstract
Transform coding tools in video coding have traditionally relied on the Discrete Cosine Transform Type II (DCT-II) to map residual signals to a new domain where quantization and entropy coding tools achieve a better coding efficiency than in the spatial domain. However, the DCT-II is not sufficient to model all different types of residual signals efficiently, especially in the intra-predicted blocks case. For this reason, the DST-VII was introduced in H.265/High Efficiency Video Coding (HEVC) in order to improve the compression performance of 4 × 4 intra-predicted blocks. In this paper we propose a multiple core transform approach, in which each transform is separable and generated by combining two one-dimensional transforms for the vertical and horizontal directions. The pair of 1-D transforms is selected from a set of three different types of Discrete Trigonometric Transforms and the Identity Transformation. Test results show that the proposed algorithm achieves bit rate reductions of 3% on average with respect to HEVC for intra-predicted residuals.

: http://publica.fraunhofer.de/dokumente/N-502653.html