SearcharxivSearch

arXiv subjects

Luciano Agostini

Publications and source records attributed to Luciano Agostini.

2 recordsLinked to original sources

Cross-Platform Neural Video Coding: A Case Study

In this paper, we first show that current learning-based video codecs, specifically the SSF codec, are not suitable for real-world applications due to the mismatch between the encoder and decoder caused by floating-point round-off errors. To address this issue, we propose the static quantization of the hyper prior decoding path. The quantization parameters are determined through an exhaustive search of all possible combinations of observers and quantization schemes from PyTorch. For the SSF codec, when encoding and decoding on different machines, the proposed solution effectively mitigates the mismatch issue and enhances compression efficiency results by preventing severe image quality degradation. When encoding and decoding are performed on the same machine, it constrains the average BD-rate increase to 9.93% and 9.02% for UVG and HEVC-B sequences, respectively.

cs.MM

Memory Assessment of Versatile Video Coding

This paper 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).

cs.MM