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Table 3 Performance evaluation of the proposed algorithm and previous works

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

  Proposed [9] [10] [11] [22]
Class of test sequences wBD-BR (%) SADcal (%) wBD-BR (%) SADcal (%) wBD-BR (%) SADcal (%) wBD-BR(%) SADcal (%) wBD-BR (%) SADcal (%)
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