Title :
Complexity reduction for 3D-HEVC depth maps intra-frame prediction using simplified edge detector algorithm
Author :
Sanchez, Gustavo ; Saldanha, Mario ; Balota, Gabriel ; Zatt, Bruno ; Porto, Marcelo ; Agostini, Luciano
Author_Institution :
Group of Archit. & Integrated Circuits, Fed. Univ. of Pelotas, Pelotas, Brazil
Abstract :
This paper presents a new mode decision for the depth maps intra-frame prediction in 3D-HEVC. The proposed technique decides if the traditional High Efficiency Video Coding-based (HEVC) intra-frame prediction should be performed or skipped. This technique is inspired by the fact that traditional intra-frame prediction may generate artifacts in the synthesized views when an edge is encoded. The Simplified Edge Detector (SED) algorithm has been proposed to classify if a block contains an edge or a nearly constant region demanding a minimum processing overhead. Through software evaluations, SED algorithm was capable to obtain an average complexity reduction of 23.8% for depth maps coding with no quality losses.
Keywords :
edge detection; video coding; 3D-HEVC depth maps intraframe prediction; SED algorithm; complexity reduction; simplified edge detector algorithm; software evaluations; Algorithm design and analysis; Classification algorithms; Complexity theory; Detectors; Encoding; Image edge detection; Prediction algorithms; 3D-HEVC; Complexity reduction; Depth maps; Intra-frame prediction;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025649