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Block Matching Algorithms for Motion Estimation: A Performance-Based Study

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Advances in Communication and Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 347))

Abstract

Motion estimation (ME) process is the most crucial and time-consuming part of video compression technique. So many block-based motion estimation techniques were developed to make ME easy and fast. In this paper we have reviewed almost all the existing BMA from very old Full Search (FS) to recently developed Reduced Three-Step Logarithmic Search (RTSLS) and Cross Three-Step Logarithmic Search (CTSLS), and so on. We have also compared them based on the computations needed per macroblock and the PSNR value of compensated image. Earlier Adaptive Rood Pattern Search (ARPS) was found to be most computationally efficient but during the review we have applied the old algorithms along with recently developed Zero Motion preadjusted RTSLS (ZMRTSLS) and Zero Motion preadjusted CTSLS (ZMCTSLS) are found to be more computationally efficient than even ARPS.

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Authors and Affiliations

  1. NERIST, Itanagar, 791109, Arunachal Pradesh, India

    Hussain Ahmed Choudhury & Monjul Saikia

Authors
  1. Hussain Ahmed Choudhury
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  2. Monjul Saikia
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Corresponding author

Correspondence to Hussain Ahmed Choudhury .

Editor information

Editors and Affiliations

  1. Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Prabin Kumar Bora

  2. Electronics and Electrical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, India

    S R Mahadeva Prasanna

  3. Electronics and Communication Technology, Gauhati University, Guwahati, Assam, India

    Kandarpa Kumar Sarma

  4. Electronics & Telecommunication Engg, Assam Engineering College, Guwahati, Assam, India

    Navajit Saikia

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Choudhury, H.A., Saikia, M. (2015). Block Matching Algorithms for Motion Estimation: A Performance-Based Study. In: Bora, P., Prasanna, S., Sarma, K., Saikia, N. (eds) Advances in Communication and Computing. Lecture Notes in Electrical Engineering, vol 347. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2464-8_12

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  • DOI: https://doi.org/10.1007/978-81-322-2464-8_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2463-1

  • Online ISBN: 978-81-322-2464-8

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