Block matching algorithms for motion estimation- a comparison study

Abstract : Motion estimation procedures are employed in order to achieve reductions in the amount of resources required for data retention and therefore alleviate transmission demands of steaming digital video sequences across Information System infrastructures. The process comes at high computational expense, however there are a number of techniques in which attempt to expedite processing times for the compression of video streams by increasing the efficiency of resource utilisation through a minimisation of superfluous calculations incurred by imprudent video compression applications. A variety of fast, block-based matching algorithms have been developed to address such issues within the motion estimation process and to also exploit the assumptions made in regards to the behaviours exhibited by distortion distributions. This investigation will analyse a number of such methodologies through a literature review of their accompanying publications and will enable the development comparative analysis based on various performance indicators.
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Communication dans un congrès
International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS 2014), Mar 2014, Trivandrum, India. Springer, Advances in Signal Processing and Intelligent Recognition Systems, 264, pp.359-369, Advances in Signal Processing and Intelligent Recognition Systems
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https://hal-supelec.archives-ouvertes.fr/hal-01083876
Contributeur : Alexandra Siebert <>
Soumis le : mardi 18 novembre 2014 - 11:13:14
Dernière modification le : jeudi 29 mars 2018 - 11:06:05

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  • HAL Id : hal-01083876, version 1

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Abir Jaafar Hussain, Liam Knight, Dhiya Al-Jumeily, Paul Fergus, Hani Hamdan. Block matching algorithms for motion estimation- a comparison study. International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS 2014), Mar 2014, Trivandrum, India. Springer, Advances in Signal Processing and Intelligent Recognition Systems, 264, pp.359-369, Advances in Signal Processing and Intelligent Recognition Systems. 〈hal-01083876〉

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