Journal of Advanced Research in Science and Technology
Volume 6, Numéro 1, Pages 924-930
2019-02-28
Authors : Salah Dhahri . Abdelkrim Zitouni .
In the past few decades, we have been running towards the Digital Age. Telephony networks, Internet, satellites, third-generation (3G) wireless networks, these advanced transmission technologies and network infrastructure ensure digital information can flood into every corner around us. So, many application of digital image processing are enhanced by motion estimation algorithms. In a video Codec such as H264AVC, motion estimation (ME) comprises one of the most important compression methods for video communications. Since this task is computationally intensive to result in large power consumption, a low-power design is essential for portable or mobile systems. In this paper we propose a ME architecture that is adaptive to the TSS (three-step search) and the GS (Gradient search) algorithms to support the slow and rapid H264AVC video sequences. This architecture is based on parallel processing technique. The proposed design is also suitable for low-cost implementation in modern multimedia applications.
H.264 ; Fast Adaptive Motion Estimation ; Gradient Search ; Three step Search ; Low Power ; Gated Clock
Messaoudi Kamel
.
Touiza Maamar
.
Bourennane Elbay
.
Toumi Salah
.
Labbani Ouassila
.
pages 78-83.
Mayache Hichem
.
Toumi1 Salah
.
Bourennane2 El Bey
.
Benhaoues 1 Atef
.
pages 25-38.
A. Abbad
.
A. Belaidi .
.
pages 20-25.
Boumalha Noureddine
.
Kouchih Djilali
.
Boucherit Mohamed Seghir
.
pages 54-64.