Hardware Implementation Of Conditional Motion Estimation In Video Coding Metadata

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Title

  • Main Title Hardware Implementation Of Conditional Motion Estimation In Video Coding

Creator

  • Author: Kakarala, Avinash
    Creator Type: Personal

Contributor

  • Chair: Mehta, Gayatri
    Contributor Type: Personal
    Contributor Info: Major Professor
  • Committee Member: Namuduri, Kamesh
    Contributor Type: Personal
  • Committee Member: Guturu, Parthsarathy
    Contributor Type: Personal

Publisher

  • Name: University of North Texas
    Place of Publication: Denton, Texas
    Additional Info: www.unt.edu

Date

  • Creation: 2011-12

Language

  • English

Description

  • Content Description: This thesis presents the rate distortion analysis of conditional motion estimation, a process in which motion computation is restricted to only active pixels in the video. We model active pixels as independent and identically distributed Gaussian process and inactive pixels as Gaussian-Markov process and derive the rate distortion function based on conditional motion estimation. Rate-Distortion curves for the conditional motion estimation scheme are also presented. In addition this thesis also presents the hardware implementation of a block based motion estimation algorithm. Block matching algorithms are difficult to implement on FPGA chip due to its complexity. We implement 2D-Logarithmic search algorithm to estimate the motion vectors for the image. The matching criterion used in the algorithm is Sum of Absolute Differences (SAD). VHDL code for the motion estimation algorithm is verified using ISim and is implemented using Xilinx ISE Design tool. Synthesis results for the algorithm are also presented.

Subject

  • Keyword: Rate distortion analysis
  • Keyword: conditional motion estimation
  • Keyword: 2D-logarithmic search algorithm

Collection

  • Name: UNT Theses and Dissertations
    Code: UNTETD

Institution

  • Name: UNT Libraries
    Code: UNT

Rights

  • Rights Access: public
  • Rights Holder: Kakarala, Avinash
  • Rights License: copyright
  • Rights Statement: Copyright is held by the author, unless otherwise noted. All rights Reserved.

Resource Type

  • Thesis or Dissertation

Format

  • Text

Identifier

  • OCLC: 818128998
  • Archival Resource Key: ark:/67531/metadc103341

Degree

  • Academic Department: Department of Electrical Engineering
  • Degree Discipline: Electrical Engineering
  • Degree Level: Master's
  • Degree Name: Master of Science
  • Degree Grantor: University of North Texas
  • Degree Publication Type: thesi

Note

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