Efficient motion vector re-estimation based on a novel cost model for a H.264/AVC transcoder

Soongi Hong, Yoonsik Choe, Yong Goo Kim

Research output: Contribution to journalArticlepeer-review


In transcoding, it is well known that refinement of the motion vectors is critical to enhance the quality of transcoded video while significantly reducing transcoding complexity. This paper proposes a novel cost model to estimate the rate-distortion cost of motion vector composition in order to develop a reliable motion vector re-estimation method that has reasonable computation cost. Based on a statistical analysis of motion compensated prediction errors, we design a basic form of the proposed cost model as a function of distance from the optimal motion vector. Simulations with a transcoder employing the proposed cost model demonstrate a significant quality gain over representative video transcoding schemes with no complexity increase.

Original languageEnglish
Pages (from-to)777-780
Number of pages4
JournalIEICE Transactions on Information and Systems
Issue number3
Publication statusPublished - 2016 Mar

Bibliographical note

Publisher Copyright:
Copyright © 2016 The Institute of Electronics, Information and Communication Engineers.

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence


Dive into the research topics of 'Efficient motion vector re-estimation based on a novel cost model for a H.264/AVC transcoder'. Together they form a unique fingerprint.

Cite this