Content-Based Adaptive SHVC Mode Decision Algorithm

Fast Depth and Inter Mode Prediction for Quality Scalable High Efficiency Video Coding

“…The proposed algorithm is developed for RA coding structure. The QPs in the BL are set to (26,30,34,38), and the corresponding QPs in the ELs are set to (22,26,30,34) and (20,24,28,32), respectively. We have used the eight training sequences (Sunflower, Tractor, Flowervase, PartyScene, BlowingBubbles, RaceHorses, Parkruner and Town) in the four proposed strategies: CBDP, DB-IMMD, EVBNSMP and CDB-DET.…”

“…We combine the five proposed strategies, i.e. CBDP, DB-IMMD, RCB-SMET, EVB-NSMP, and CDB-DET, and compare it with Hamid's algorithm [22] as well as Shen's algorithm [28]. For fair comparisons, all these three algorithms are implemented on the same computing platform.…”

“…For fair comparisons, all these three algorithms are implemented on the same computing platform. Two settings of QPs: Q1 = (22,26,30,34) and Q2 = (20,24,28,32) are used. The overall performance of our algorithm and Hamid's algorithm are listed in Table VI and Table VII, with Q1 and Q2 respectively.…”

“…Yeh et al [27] use encoded Coding Unit (CU) sizes, prediction modes, motion vectors and Rate-Distortion Costs (RD-Costs) in BL and encoded CU sizes in EL to accelerate the coding speed of quality SHVC. Shen et al [28] use conditional probability of a SKIP/Merge mode, motion activity and mode complexity to describe the video content to predict the EL mode decision to improve the coding speed.…”

Probability-Based Fast Intra Prediction Algorithm for Spatial SHVC

“…Since the resolutions in BL and EL are the same, the correlation degrees in EL can be obtained directly based on co-located correlation degrees in BL. The works in [19,20] obtain correlation degrees based on pixel correlations. Based on Inter-layer, spatio-temporal and Inter-level correlations, the research [19] develops a conditional probability of a SKIP/Merge mode, motion activity and mode complexity to predict candidate modes.…”