abstract

• The demand of video applications in mobile devices has grown in the last decade. However, video applications are computationally demanding tasks that can drain device battery. Since, battery capacity has not evolved at the same rate as digital electronics, is necessary to work into achieve the same tasks with less complex algorithms. The most demanding task within the video coding process is Motion Estimation and Compensation (ME/MC). Therefore, the present work aims the reduction of calls to the ME/MC procedure by introducing a power-aware scheme using approximate computing. The call reduction is achieve by introducing a simple motion detection algorithm in combination with a pel decimation technique. The reduction in calls achieves a cutback in power consumption as well as a speed-up in the coding process. The average power reduction is 91.60%25 while the average speed-up is 65.89%25 in MPEG-4. While our proposed scheme in H.264/AVC achieves an average power reduction of 93.55%25 and an average speed-up of 89.15%25. © 2018 IEEE.

authors

• Aguilar Ponce Ruth Mariela
• Ruiz-Hernandez J.M.
• Tecpanecatl Xihuitl José Luis

publication date

• 2019-01-01

funding provided via

• National Research Council of Science and Technology: 786948/613133  Grant

published in

• Proceedings - 2018 10th IEEE Latin-American Conference on Communications, LATINCOM 2018  Proceedings

keywords

• Approximate Computing; Motion Compensation; Motion Estimation; Power-aware; Video compression Codes (symbols); Electric batteries; Image compression; Motion compensation; Motion estimation; Motion Picture Experts Group standards; Power management; Approximate Computing; Battery capacity; Complex algorithms; Digital electronics; Motion estimation and compensations; Power-aware; Predictive video coding; Video applications; Video signal processing

Digital Object Identifier (DOI)

• 10.1109/LATINCOM.2018.8613221

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