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Performance Evaluation of Different Cost Functions in Motion Vector Estimation

Author

Listed:
  • Suvojit Acharjee

    (Department of ETCE, Jadavpur University, Kolkata, India)

  • Sayan Chakraborty

    (Department of CSE, JIS College of Engineering, Kalyani, India)

  • Wahiba Ben Abdessalem Karaa

    (Department of CSE, High Institute of Management, Le Bardo, Tunisia)

  • Ahmad Taher Azar

    (Benha University, Qalyubia, Egypt)

  • Nilanjan Dey

    (Department of IT, JIS College of Engineering, Kalyani, India)

Abstract

Video is an important medium in terms of information sharing in this present era. The tremendous growth of video use can be seen in the traditional multimedia application as well as in many other applications like medical videos, surveillance video etc. Raw video data is usually large in size, which demands for video compression. In different video compressing schemes, motion vector is a very important step to remove the temporal redundancy. A frame is first divided into small blocks and then motion vector for each block is computed. The difference between two blocks is evaluated by different cost functions (i.e. mean absolute difference (MAD), mean square error (MSE) etc).In this paper the performance of different cost functions was evaluated and also the most suitable cost function for motion vector estimation was found.

Suggested Citation

  • Suvojit Acharjee & Sayan Chakraborty & Wahiba Ben Abdessalem Karaa & Ahmad Taher Azar & Nilanjan Dey, 2014. "Performance Evaluation of Different Cost Functions in Motion Vector Estimation," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 5(1), pages 45-65, January.
  • Handle: RePEc:igg:jssmet:v:5:y:2014:i:1:p:45-65
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