[PDF] Fast Intra Mode Decision Algorithm for H264/AVC HD Baseline





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hQ +Bi2 i?Bb p2`bBQM, International Journal of Computer Applications (0975 8

Fast Intra Mode Decision Algorithm for H264/AVC

University of Sfax

ABSTRACT

The high performance of H.264/AVC

General Terms

Video

Keywords

1. INTRODUCTION

The H.264/AVC [1] is a video encoder standard that

Baseline profile: Primarily used for lower

Main profile: Originally intended as the mainstream Extended profile: Intended as the streaming video profile,

High profile: is th

Fig1

In this paper, a fast intra mode decision

2. INTRA/INTER MODE DECISION

H264/AVC b

76%

15%4%1%3%1%

28%
48%2%

12%2%5%3%inter

intra comp chroma filter cavlc others(a) (b) International Journal of Computer Applications (0975 9 ™ Intra4×4 (I4MB) performed for each 4x4 block and ™ Intra16×16 (I16MB) applied for each 16x16 MB and 0 M Mean M 0 V 3 V Mean V 1 V 0 Fig4: In order to derive the best mode between the different intra mode Ȝmode

Encoding part

MB Cost

Cost comparaison

Cost intra Block

Predicted

Cost comparaison

i Cost intra

Motion Estimation

Cost inter Inter True

Cost Mode

Fig5: ™ For intra16x16, costs relative to the four intral6x16 modes intra16x16. ™ For intra4x4, the cost computation is performed on two

Prediction step: The current MB

Encoding step: The residual block between the current intra4x4 ™ Regarding inter prediction, motion estimation is performed inter. intra16x16, Costintra4x4 inter

3. PREVIOUS WORKS

The adoption of fast motion estimation algorithm makes intra et al. [7], present an intra mod et al. [8], propose Fast Three Step Intra et al. [9], present a fast mode selection International Journal of Computer Applications (0975 10 et al. et al. et al. et al. algorithm [8]. et al. et al. [16], present a fast intra prediction algorithm A prediction part where a cost function is performed for An encoding part used to compute residual block, and to

4. PROPOSED ALGORITHM

To solve problems of previous algorithms, a fast intra ™ The inter mode is the most selected mode for P frames Fig ™ Fig 7 illustrates the inter mode decision map in P Fig7: ™ Intra16x16 is generally used for backgrounds, stationary 0%18% 82%
QP=23 intra16x16 intra4x4 inter 2%16% 82%
QP=28 intra16x16 intra4x4 inter 6%13% 81%
QP=33 intra16x16 intra4x4 inter 12%9% 79%
QP=38 intra16x16 intra4x4 inter International Journal of Computer Applications (0975 11 Fig8: Considering these observations, we can affirm that there is a

Frame type

I Frame

Best inter

Check only

YesNo Fig9:

™ For I Frames, intra mode decision

™ For P Frames, the intra mode decision is related to the If the best inter mode is P8x8, which means that 8x8,

Else, intra16x16 is checked an

5. EXPERIMENTAL RESULTS

The proposed algorithm was implemented usin

Table

Intra period 8

Search range 16

QP values 20,28,38

Frames to be encoded 32

Error metric for mode decision SAD

Entropy encoder CAVLC

Rate control off

Number of Reference Frames 1

Frame rate 30

Sequence sizes 720p (1280x720) and

1080p (1920x1088)

™ ǻ presents the PSNR variance

intra prediction between th Table 2: Experimental results for 720p (1280x720) HD video sequences

QP=20 QP=28 QP=38

Sequence ǻ ǻ ǻ ǻ ǻ ǻ ǻ ǻ ǻ

Crowdrun 0 0 -52.3 0 0 -54 0 0 -59.2

Parkjoy 0 +0.004 -54.4 -0.02 +0,005 -58.97 -0,04 +0,003 -62.5

Sunflower -0.01 0 -56.12 0 0 -55.92 0 0 -60.4

OldTown 0 0 -60.43 0 0 -56.21 0 0 -58

International Journal of Computer Applications (0975 12 Table 3: Experimental results for 1080p (1920x7088) HD video sequences

QP=20 QP=28 QP=38

Sequence ǻ ǻ(%) ǻ ǻ ǻ ǻ ǻ ǻ ǻ Crowdrun 0 +0.001 -51.45 0 0 -53.46 -0.01 0 -58.64 Parkjoy -0.07 +0.01 -52.7 -0.03 +0.002 -54.78 -0,05 +0.006 -59.45 Bluesky 0 0 -54.86 0 +0.002 -54.23 -0.01 -0.002 -61.78 Sunflower -0.01 +0.004 -56.26 -0.01 +0.003 -57.8 -0.02 -0.004 -62.14 Since the computational time is relative to the accurate idea on the encoding speed and time saving, we

ǻINbെ

x

ǻINbȂ

x Nb

Number.

QP=20 QP=28 QP=38

Sequence ǻ

Crowdrun -50.54 -49.11 -26,73 -73,22 -11,51 -88,44

Parkjoy -31.87 -64.06 -1,69 -98,30 -0,55 -99,20

Sunflower -9.89 -89.34 -11,65 -86,89 -5,31 -93,86

Oldtown -5.66 -94.33 -24,66 -73,97 -11,11 -87,72

Table 5: Saving use results for 1080p HD video

QP=20 QP=28 QP=38

Sequence ǻ

Crowdrun -51.10 -53.27 -36.83 -63.16 -9.61 -90.38

Parkjoy -35.79 -64.20 -24.07 -75.92 -4.46 -95.53

Bluesky -11.48 -88.51 -4.66 -95.33 -0.57 -99.42

Sunflower -9.46 -90.53 -4.5 -95.49 -1.60 -99.27

In 7. [1] Joint Video Team (JVT) International Journal of Computer Applications (0975 13 http://www.cast

Optimal DSP

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