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An efficient versatile video coding motion estimation hardware

İsim An efficient versatile video coding motion estimation hardware
Yazar Ahmad, W., Mahdavi, H., Hamzaoğlu, İlker
Basım Tarihi: 2024-04
Basım Yeri - Springer
Konu Hardware, Motion estimation, Video compression, VVC
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 1861-8200
Kayıt Numarası 12cf4810-2487-45ee-bcf9-c5bcf818ad91
Lokasyon Computer Science
Tarih 2024-04
Notlar TÜBİTAK
Örnek Metin 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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An efficient versatile video coding motion estimation hardware

Yazar Ahmad, W., Mahdavi, H., Hamzaoğlu, İlker
Basım Tarihi 2024-04
Basım Yeri - Springer
Konu Hardware, Motion estimation, Video compression, VVC
Tür Süreli Yayın
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 1861-8200
Kayıt Numarası 12cf4810-2487-45ee-bcf9-c5bcf818ad91
Lokasyon Computer Science
Tarih 2024-04
Notlar TÜBİTAK
Örnek Metin 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
Özyeğin Üniversitesi
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