Title :
Dynamically variable step search motion estimation algorithm and a dynamically reconfigurable hardware for its implementation
Author :
Tasdizen, Ozgur ; Akin, Abdulkadir ; Kukner, Halil ; Hamzaoglu, Ilker
Author_Institution :
Dept. of Electron. Eng., Sabanci Univ., Istanbul, Turkey
fDate :
8/1/2009 12:00:00 AM
Abstract :
Motion Estimation (ME) is the most computationally intensive part of video compression and video enhancement systems. For the recently available high definition (HD) video formats, the computational complexity of full search (FS) ME algorithm is prohibitively high, whereas the PSNR obtained by fast search ME algorithms is low. Therefore, in this paper, we present dynamically variable step search (DVSS) ME algorithm for processing high definition video formats and a dynamically reconfigurable hardware architecture for efficiently implementing DVSS algorithm. The simulation results showed that DVSS algorithm performs very close to FS algorithm by searching much fewer search locations than FS algorithm and it outperforms successful fast search ME algorithms by searching more search locations than these algorithms. The proposed hardware is implemented in VHDL and is capable of processing high definition video formats in real time. Therefore, it can be used in consumer electronics products for video compression, frame rate up-conversion and de-interlacing.
Keywords :
computational complexity; data compression; hardware description languages; high definition video; motion estimation; video coding; VHDL; computational complexity; consumer electronics products; dynamically variable step search motion estimation algorithm; fast search motion estimation; frame rate up-conversion; full search motion estimation; high definition video formats; reconfigurable hardware; video compression; video deinterlacing; video enhancement systems; Computational complexity; Computer architecture; Consumer electronics; Hardware; Heuristic algorithms; High definition video; Motion estimation; PSNR; Video compression; Videoconference; FPGA; Hardware Implementation; Motion Estimation; Video Compression; Video Enhancement;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2009.5278038