A hardware-oriented concurrent TZ search algorithm for High-Efficiency Video Coding

EURASIP Journal on Advances in Signal Processing

Table 3 Performance evaluation of the proposed algorithm and previous works

	Proposed		[9]		[10]		[11]		[22]
Class of test sequences	wBD-BR (%)	SAD_cal (%)	wBD-BR (%)	SAD_cal (%)	wBD-BR (%)	SAD_cal (%)	wBD-BR(%)	SAD_cal (%)	wBD-BR (%)	SAD_cal (%)
Class A (2560 × 1600)
PeopleOnStreet	− 0.83	36.4	0.49	13.04	0.56	21.28	0.68	23.2	1.15	73.17
Traffic	− 0.99	22.96	0.05	3.55	0.09	7.31	0.17	22.08	0.3	32.57
Class B (1920 × 1080)
BasketballDrive	− 0.69	43.61	0.05	12.01	0.24	18.32	0.27	18.82	0.37	71.41
BQTerrace	− 0.95	61.12	0.26	5.55	0.32	11.33	0.25	22.04	0.46	33.49
Cactus	− 0.6	56.17	0.01	6.38	0.05	13.94	0.09	18.58	0.13	63.85
Kimono	− 0.52	60.16	0	6.83	− 0.06	15.8	0.03	17.32	0.09	70.01
ParkScene	− 0.81	55.61	0.02	− 1.36	− 0.02	4.08	0.01	15.42	0.17	36.48
Class C (832 × 480)
Keiba	− 1.29	49.86	0.18	11.29	0.09	18.8	0.14	20.8	1.21	68.13
BQMall	− 0.78	52.32	− 0.05	15.64	− 0.16	21.46	− 0.02	25.05	0.15	65.57
BasketballDrill	− 0.66	56.64	0.14	12.24	0.3	19.34	0.55	22.92	0.61	73.32
Flowervase	− 1.31	78.84	0.19	4.52	0.07	8.62	0	23.07	0.75	42.62
PartyScene	− 0.36	53.04	0.16	6.1	0.07	15.3	0.24	20.7	0.25	57.65
RaceHorses	− 1.01	59.52	0.14	11.92	0.12	19.78	0.38	21.22	0.72	75.28
Class D (416 × 240)
BasketballPass	− 0.67	53.01	0.12	11.03	0.11	17	0.25	23.85	0.32	57.9
BlowingBubbles	− 0.86	55.74	0.25	2.71	0.31	9.01	0.12	20.88	0.22	42.08
BQSquare	− 0.66	61.75	0.23	− 12.63	0.11	− 10.99	0.3	15.51	0.11	− 0.79
RaceHorses	− 0.91	57.23	0.22	11.18	0.17	20.1	0.53	22.58	0.54	71.17
Class E (1280 × 720)
FourPeople	− 0.6	59.32	0.17	13.32	0.08	16.32	0.05	28.39	0.21	50.61
Johnny	− 1.24	58.15	0.21	9.67	0.21	12.59	0.52	27.47	0.67	36.99
KristenAndSara	− 1.04	59.44	0.11	9.3	− 0.07	13.57	− 0.09	25.75	0.12	45.33
Average	− 0.84	54.54	0.15	7.61	0.13	13.65	0.22	21.78	0.43	53.34