Light-weight Video Encoding Complexity Prediction using Spatio Temporal Features-Reference-Cited by-同舟云学术

Light-weight Video Encoding Complexity Prediction using Spatio Temporal Features

Published:2022-09-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP)
language:
Short-container-title:

Author:

Amirpour Hadi¹,Rajendran Prajit T²,Menon Vignesh V¹,Ghanbari Mohammad¹,Timmerer Christian¹

Affiliation:

1. Institute of Information Technology (ITEC), University of Klagenfurt,Christian Doppler Laboratory ATHENA,Austria

2. Universite Paris-Saclay,CEA, List, F-91120 Palaiseau,Paris,France

Funder

Austrian Federal Ministry for Digital and Economic Affairs

Christian Doppler Research Association

Publisher

IEEE

Link

Reference31 articles.

1. A Unified Approach to Interpreting Model Predictions;lundberg;Advances in Neural IInformation Processing Systems,2017

2. Accelerating x265 with Intel® Advanced Vector Extensions 512;tiwari;White Paper on the Intel Developers Page,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EVCA;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

2. Encoding Time and Energy Model for SVT-AV1 Based on Video Complexity;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14