Skip to main content

Table 4 Performance comparison between the proposed method and [19] under the random-access configuration

From: Fast inter-prediction algorithm based on motion vector information for high efficiency video coding

HM 16.3

[19]

Proposed

Class

Sequence

BDPSNR (dB)

BDBR (%)

TS (%)

BDPSNR (dB)

BDBR (%)

TS (%)

A

S01

Traffic

− 0.02

0.72

56.98

− 0.04

1.24

54.15

S02

PeopleOnStreet

− 0.03

0.67

27.09

− 0.03

0.75

39.18

 

Average

− 0.03

0.70

42.04

− 0.04

1.00

46.67

B

S03

Kimono

− 0.01

0.43

46.86

− 0.04

1.23

59.17

S04

ParkScene

− 0.02

0.50

53.77

− 0.03

1.03

50.02

S05

Cactus

− 0.01

0.60

48.18

− 0.02

0.91

50.26

S06

BasketballDrive

− 0.02

0.68

44.15

− 0.02

1.02

49.31

S07

BQTerrace

− 0.03

1.68

55.27

− 0.03

1.62

52.67

 

Average

− 0.02

0.78

49.65

− 0.03

1.16

52.29

C

S08

BasketballDrill

− 0.01

0.13

35.45

− 0.02

0.50

37.76

S09

BQMall

− 0.02

0.58

45.97

− 0.02

0.51

43.15

S10

PartyScene

− 0.01

0.31

38.69

− 0.01

0.20

39.50

S11

RaceHorsesC

− 0.04

0.99

36.92

− 0.05

1.23

36.36

 

Average

− 0.02

0.50

39.26

− 0.02

0.61

39.19

D

S12

BasketballPass

− 0.02

0.46

29.31

− 0.02

0.36

32.87

S13

BQSquare

− 0.01

0.16

48.65

0.01

− 0.14

42.71

S14

BlowingBubbles

− 0.02

0.39

39.93

− 0.01

0.20

38.11

S15

RaceHorses

− 0.04

0.86

22.68

− 0.03

0.58

32.59

 

Average

− 0.02

0.47

35.14

− 0.01

0.25

36.57

Total average

− 0.02

0.61

41.99

− 0.02

0.75

43.85