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Memory Assessment of Versatile Video Coding

Citation Author(s):
Arthur Cerveira, Luciano Agostini, Bruno Zatt, Felipe Sampaio
Submitted by:
Arthur Cerveira
Last updated:
3 November 2020 - 3:27pm
Document Type:
Presentation Slides
Document Year:
2020
Event:
Presenters Name:
Arthur Cerveira
Paper Code:
2601
Categories:

Abstract 

Abstract: 

This work presents a memory assessment of the next-generation Versatile Video Coding (VVC). The memory analyses are performed adopting as a baseline the state-of-the-art High-Efficiency Video Coding (HEVC). The goal is to offer insights and observations of how critical the memory requirements of VVC are aggravated, compared to HEVC. The adopted methodology consists of two sets of experiments: (1) an overall memory profiling and (2) an inter-prediction specific memory analysis. The results obtained in the memory profiling show that VVC access up to 13.4x more memory than HEVC. Moreover, the inter-prediction module remains (as in HEVC) the most resource-intensive operation in the encoder: 60%-90% of the memory requirements. The inter-prediction specific analysis demonstrates that VVC requires up to 5.3x more memory accesses than HEVC. Furthermore, our analysis indicates that up to 23% of such growth is due to VVC novel-CU sizes (larger than 64x64).

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Dataset Files

VVC Memory Analysis.pdf

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