Title
Technical Papers Parallel Session-IV: Computationally efficient HEVC/H.265 motion estimation algorithm for low power applications
Abstract/Description
High Efficiency Video Coding (HEVC/H.265) is an emerging standard for video compression that provides almost double compression efficiency at the cost of major computational complexity increase as compared to current industry-standard Advanced Video Coding (AVC/H.264). In HEVC more flexible coding options and partitioning types are provided for prediction units (PUs) and consequently motion estimation (ME) is more involved than previous video-coding standards. The existing fast ME algorithms, including the test zone search provided in the HEVC reference software, cannot generate high-quality video with reasonable computational complexity. In this paper, four algorithms are proposed and designed for optimizing the motion estimation process for the H.265/HEVC whilst maintaining the same quality and the compression rate as the standard. The conducted experiments show significant speed improvements, thus making a novel contribution to the implementation of realtime H.265 standard encoders in computationally constrained environments such as low-power mobile devices and general purpose computers.
Keywords
Low power design, Video coding, Architecture, Algorithm, Energy efficiency, Analysis, Test zone search, Motion estimation, TZ search
Location
C-9, AMAN CED
Session Theme
Technical Papers Parallel Session-IV (Algorithms)
Session Type
Parallel Technical Session
Session Chair
Dr. Sajjad Haider Zaidi
Start Date
13-12-2015 3:30 PM
End Date
13-12-2015 3:50 PM
Recommended Citation
Yasir, F., & Hasan, S. (2015). Technical Papers Parallel Session-IV: Computationally efficient HEVC/H.265 motion estimation algorithm for low power applications. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2015/2015/22
COinS
Technical Papers Parallel Session-IV: Computationally efficient HEVC/H.265 motion estimation algorithm for low power applications
C-9, AMAN CED
High Efficiency Video Coding (HEVC/H.265) is an emerging standard for video compression that provides almost double compression efficiency at the cost of major computational complexity increase as compared to current industry-standard Advanced Video Coding (AVC/H.264). In HEVC more flexible coding options and partitioning types are provided for prediction units (PUs) and consequently motion estimation (ME) is more involved than previous video-coding standards. The existing fast ME algorithms, including the test zone search provided in the HEVC reference software, cannot generate high-quality video with reasonable computational complexity. In this paper, four algorithms are proposed and designed for optimizing the motion estimation process for the H.265/HEVC whilst maintaining the same quality and the compression rate as the standard. The conducted experiments show significant speed improvements, thus making a novel contribution to the implementation of realtime H.265 standard encoders in computationally constrained environments such as low-power mobile devices and general purpose computers.
