An efficient versatile video coding motion estimation hardware

Title An efficient versatile video coding motion estimation hardware
Author Ahmad, W., Mahdavi, H., Hamzaoğlu, İlker
Publication Date: 2024-04
Publication Place - Springer
Subject Hardware, Motion estimation, Video compression, VVC
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1861-8200
Record ID 12cf4810-2487-45ee-bcf9-c5bcf818ad91
Library Location Computer Science
Date 2024-04
Notes TÜBİTAK
Sample Text Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards at the cost of significant increase in computational complexity. Motion estimation (ME) is the most time consuming and memory intensive module in VVC encoder. Therefore, in this paper, we propose an efficient VVC ME hardware. It is the first VVC ME hardware in the literature. It has real time performance with small hardware area. This efficiency is achieved by using a 64 × 64 systolic processing element array to support maximum coding tree unit (CTU) size of 128 × 128 and by using a novel memory-based sum of absolute differences (SAD) adder tree to calculate SADs of 128 × 128 CTUs. The proposed VVC ME hardware reduces memory accesses significantly by using an efficient data reuse method. It can process up to 30 4 K (3840 × 2160) video frames per second.
DOI 10.1007/s11554-023-01402-8
Cilt 21
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Özyeğin University - Ottoman library catalog search Özyeğin University

An efficient versatile video coding motion estimation hardware

Author Ahmad, W., Mahdavi, H., Hamzaoğlu, İlker
Publication Date 2024-04
Publication Place - Springer
Subject Hardware, Motion estimation, Video compression, VVC
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1861-8200
Record ID 12cf4810-2487-45ee-bcf9-c5bcf818ad91
Library Location Computer Science
Date 2024-04
Notes TÜBİTAK
Sample Text Versatile Video Coding (VVC) is the latest video coding standard. It provides higher compression efficiency than the previous video coding standards at the cost of significant increase in computational complexity. Motion estimation (ME) is the most time consuming and memory intensive module in VVC encoder. Therefore, in this paper, we propose an efficient VVC ME hardware. It is the first VVC ME hardware in the literature. It has real time performance with small hardware area. This efficiency is achieved by using a 64 × 64 systolic processing element array to support maximum coding tree unit (CTU) size of 128 × 128 and by using a novel memory-based sum of absolute differences (SAD) adder tree to calculate SADs of 128 × 128 CTUs. The proposed VVC ME hardware reduces memory accesses significantly by using an efficient data reuse method. It can process up to 30 4 K (3840 × 2160) video frames per second.
DOI 10.1007/s11554-023-01402-8
Cilt 21
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