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Saurabh Arya

Bengaluru, Karnataka, India
3K followers 500+ connections

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• Business leader with track record of consistently delivering revenue growth and…

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Publications

  • Object-based Affine Motion Estimation

    IEEE

    Motion estimation and compensation form a major part in any video coding scheme. The video coding standard adopted for multimedia applications is the MPEG-4 wherein object-based motion estimation comes into play. However, MPEG-4 uses conventional motion estimation technique that can detect only pure translational motion along the image plane and fails to consider any complex motion that arises due to rotation, zooming, etc. An efficient way of detecting complex motion is by using the affine…

    Motion estimation and compensation form a major part in any video coding scheme. The video coding standard adopted for multimedia applications is the MPEG-4 wherein object-based motion estimation comes into play. However, MPEG-4 uses conventional motion estimation technique that can detect only pure translational motion along the image plane and fails to consider any complex motion that arises due to rotation, zooming, etc. An efficient way of detecting complex motion is by using the affine motion model. In this paper, we develop a scheme for estimating affine motion of object suitable for MPEG-4 video coding thereby achieving high quality. Simulation results demonstrate the efficiency of the proposed scheme in comparison to conventional object-based motion estimation techniques.

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Test Scores

  • Chartered Financial Analyst® Level 1 (CFA Institute, Virginia, USA)

    Score: Passed

Languages

  • English

    Full professional proficiency

  • Hindi

    Native or bilingual proficiency

Organizations

  • AIM Alumni Association

    Member

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