An effective motion vector re-estimation method for low bit-rate video transcoding

June Sok Lee, Goo Rak Kwon, Jae Won Kim, Nam Hyeong Kim, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


For the low bit-rate multimedia communications, video contents have to be transcoded according to the requirements of network bandwidth and the performance of clients. However, transcoding to the low bit-rate creates video quality degradation (drift error) caused by quantization, motion vector truncation, and downsizing. In this paper, we present an effective motion vector reestimation method to compensate drift errors in the spatial resolution reduction transcoding. Experimental results show that our method can preserve image quality while transcoding to the low bit-rate.

Original languageEnglish
Pages (from-to)325-329
Number of pages5
JournalReal-Time Imaging
Issue number5
Publication statusPublished - 2004 Oct

Bibliographical note

Copyright 2008 Elsevier B.V., All rights reserved.

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering


Dive into the research topics of 'An effective motion vector re-estimation method for low bit-rate video transcoding'. Together they form a unique fingerprint.

Cite this