Adaptive search range selection for scalable video coding extension of H.264/AVC

Anand Paul, Jhing Fa Wang, Jar-Ferr Yang

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

6 Citations (Scopus)


This paper presents an adaptive search range selection based on prediction error and local statistics of the neighboring blocks. The performance, computation, and power consumption of block matching motion estimation algorithms in video coding standards depends on the motion search range. An optimal search range for each block is determined on the basis of motion vectors and prediction errors obtained for a region blocks for which those values have already been obtained. Same search range is utilized for different frames subjected to correlation of scalability. The result shows that there is a significant reduction of computational cost of video encoder, since a narrow search a range is chosen for area with little motion blocks. Thus, in encoding a video our method results in reduction of computation complexity of block based motion estimation by 45% with negligible PSNR degradation.

Original languageEnglish
Title of host publication2008 IEEE Region 10 Conference, TENCON 2008
Publication statusPublished - 2008
Event2008 IEEE Region 10 Conference, TENCON 2008 - Hyderabad, India
Duration: 2008 Nov 192008 Nov 21


Other2008 IEEE Region 10 Conference, TENCON 2008

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'Adaptive search range selection for scalable video coding extension of H.264/AVC'. Together they form a unique fingerprint.

Cite this