Kalman filter based H.264 motion vector recovery for error resilient video service over mobile GRID

Ki Hong Ko, Seong Whan Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The goal of mobile GRID is to provide the same QoS to mobile users as experienced by wired users. However, inherent unstable nature of the wireless network causes many challenges. Inherent characteristics make frequency disconnection, delay, and jitter. For the reason, we focus on the error resilience scheme for video communication over mobile GRID environments. We propose an error concealment technique to recover lost motion vectors at the H.264 decoder side. To recover the lost motion vectors, there are two simple techniques: (1) no prediction, where the lost motion vectors are set to zeros, and (2) the prediction using the average or median of spatially adjacent blocks’ motion vectors. In this paper, we propose a Kalman filter based scheme for motion vector recovery, and experimented with two test image sequences: Mobile&Calendar and Susie. The experimental results show that our Kalman filter based motion vector recovery scheme improves at average 2 dB PSNR over conventional H.264 decoding with no error recovery. We also improve our scheme using Hilbert curve scan order for Kalman input, and we get 0.512-1.652 dB PSNR improvements with better subjective quality over line-by-line scan order.

Original languageEnglish
Title of host publicationDistributed Computing and Internet Technology - 3rd International Conference, ICDCIT 2006
EditorsSanjay K. Madria, Kajal T. Claypool, Rajgopal Kannan, Prem Uppuluri, Manoj Madhava Gore
PublisherSpringer Science and Business Media Deutschland GmbH
Pages168-179
Number of pages12
ISBN (Print)9783540683797
DOIs
StatePublished - 2006
Event3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006 - Bhubaneswar, India
Duration: 20 Dec 200623 Dec 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4317
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Distributed Computing and Internet Technology, ICDCIT 2006
Country/TerritoryIndia
CityBhubaneswar
Period20/12/0623/12/06

Keywords

  • Error concealment
  • H.264
  • Hilbert curve
  • Kalman filter
  • Mobile GRID
  • Motion vector recovery

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