“Saurabh is a consummate consulting professional, who can handle ambiguity and complexity fairly well. He would be an asset for any organization. Wishing him luck in his endeavors!”
About
Activity
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Last week, I had the honour of delivering the keynote address at our very first LinkedIn Sales Connect in Colombo, Sri Lanka — marking LinkedIn Sales…
Last week, I had the honour of delivering the keynote address at our very first LinkedIn Sales Connect in Colombo, Sri Lanka — marking LinkedIn Sales…
Liked by Saurabh Arya
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Thrilled to announce a new milestone in our journey at LinkedIn Sales Solutions! Over the past week in Colombo, I had the opportunity to meet the…
Thrilled to announce a new milestone in our journey at LinkedIn Sales Solutions! Over the past week in Colombo, I had the opportunity to meet the…
Liked by Saurabh Arya
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Thrilled to share that we’ve partnered with Moative, a powerful platform transforming how teams drive revenue and customer engagement. Excited for…
Thrilled to share that we’ve partnered with Moative, a powerful platform transforming how teams drive revenue and customer engagement. Excited for…
Liked by Saurabh Arya
Experience & Education
Publications
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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.
Other authorsSee publication
Test Scores
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Chartered Financial Analyst® Level 1 (CFA Institute, Virginia, USA)
Score: Passed
Languages
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English
Full professional proficiency
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Hindi
Native or bilingual proficiency
Organizations
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AIM Alumni Association
Member
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