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An Improved Approach of Block Matching Algorithm for Motion Vector Estimation

Author

Listed:
  • Shailesh D. Kamble

    (Nagpur University, Nagpur, India)

  • Sonam T. Khawase

    (Yeshwantrao College of Engineering, Nagpur, India)

  • Nileshsingh V. Thakur

    (Prof Ram Meghe College of Engineering & Management, Amravati, India)

  • Akshay V. Patharkar

    (K.D.K. College of Engineering, Nagpur, India)

Abstract

Motion estimation has traditionally been used in video encoding only, however, it can also be used to solve various real-life problems. Nowadays, researchers from different fields are turning towards motion estimation. Motion estimation has become a serious problem in many video applications. It is a very important part of video compression technique and it provides improved bit rate reduction and coding efficiency. The process of motion estimation is used to improve compression quality and it also reduces computation time. Block-based motion estimation algorithms are used as they require less memory for processing of any video file. It also reduces the complexity involved in computations. In this article, various block-matching motion estimation algorithms are discussed such as Full search (FS) or Exhaust Search, Three-Step search (TSS), New Three-Step search (NTSS), Four-Step search (FSS), Diamond search (DS) etc.

Suggested Citation

  • Shailesh D. Kamble & Sonam T. Khawase & Nileshsingh V. Thakur & Akshay V. Patharkar, 2018. "An Improved Approach of Block Matching Algorithm for Motion Vector Estimation," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 8(1), pages 38-56, January.
    • Handle: RePEc:igg:jirr00:v:8:y:2018:i:1:p:38-56
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