Title :
Mode-dependent transform competition for HEVC
Author :
Adrià Arrufat;Pierrick Philippe;Olivier Déforges
Author_Institution :
Orange Labs, 4, Rue du Clos Courtel, 35512 Cesson-Sé
Abstract :
Transform coding plays a key role in state-of-the-art video coders, such as HEVC. However, transforms used in current solutions do not cover the varieties of video coding signals. This work presents an adaptive transform design method that enables the use of multiple transforms in HEVC. A different transform set is learnt for each intra prediction mode, allowing the video encoder to perform better decisions regarding block sizes, prediction modes and transforms. Different systems are proposed to accommodate trade-offs between complexity and performance. Bit rate reductions in the range of 2% to 7% are reported, depending on complexity.
Keywords :
"Transforms","Encoding","IP networks","Complexity theory","Artificial intelligence","Rate-distortion","Video coding"
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
DOI :
10.1109/ICIP.2015.7351070