Efficient motion re-estimation method based on k-means clustering for spatial resolution reduction transcoding

Kyounghwan Kim, Soongi Hong, Yoonsik Choe

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

2 Citations (Scopus)

Abstract

In this paper, we present a spatial resolution reduction transcoding architecture for H.264/AVC with a low-complexity compensation technique. A fast motion vector re-estimation based on a k-means clustering algorithm is proposed for efficiently determining a motion vector and a reference frame. A motion vector refinement technique is used to further improve the rate-distortion performance without additional high complexity. The proposed method significantly reduces the motion vector estimation complexity up to 10 times while the loss of rate distortion performance is negligible with a decrease of 0.1dB in BD-PSNR and 3% increase in the BD-RATE.

Original languageEnglish
Title of host publication2012 Picture Coding Symposium, PCS 2012, Proceedings
Pages221-224
Number of pages4
DOIs
Publication statusPublished - 2012 Jul 25
Event29th Picture Coding Symposium, PCS 2012 - Krakow, Poland
Duration: 2012 May 72012 May 9

Publication series

Name2012 Picture Coding Symposium, PCS 2012, Proceedings

Other

Other29th Picture Coding Symposium, PCS 2012
CountryPoland
CityKrakow
Period12/5/712/5/9

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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    Kim, K., Hong, S., & Choe, Y. (2012). Efficient motion re-estimation method based on k-means clustering for spatial resolution reduction transcoding. In 2012 Picture Coding Symposium, PCS 2012, Proceedings (pp. 221-224). [6213332] (2012 Picture Coding Symposium, PCS 2012, Proceedings). https://doi.org/10.1109/PCS.2012.6213332