Approximate-computing architectures for motion estimation in HEVC

Alberto Paltrinieri, Riccardo Peloso, Guido Masera, Muhammad Shafique, Maurizio Martina

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Video compression deeply relies on motion estimation but this crucial step requires power-hungry computational resources. Starting from an existing architecture capable of calculating a high number of Sum of Absolute Differences (SADs), three possible locations for approximate adders are chosen. At each location, different types of approximate adders are implemented and the results are analyzed in terms of error and power saving.

Original languageEnglish (US)
Title of host publication2018 New Generation of CAS, NGCAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781538676813
StatePublished - Dec 10 2018
Event2018 New Generation of CAS, NGCAS 2018 - Valletta, Malta
Duration: Nov 20 2018Nov 23 2018

Publication series

Name2018 New Generation of CAS, NGCAS 2018


Conference2018 New Generation of CAS, NGCAS 2018

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology
  • Instrumentation


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