Computer Science > Multimedia
arXiv:2401.03195 (cs)
[Submitted on 6 Jan 2024 (v1), last revised 14 Mar 2024 (this version, v2)]
Title:Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features
View a PDF of the paper titled Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features, by Ali Falahati and 4 other authors
View PDFAbstract:Providing high-quality video with efficient bitrate is a main challenge in video industry. The traditional one-size-fits-all scheme for bitrate ladders is inefficient and reaching the best content-aware decision computationally impractical due to extensive encodings required. To mitigate this, we propose a bitrate and complexity efficient bitrate ladder prediction method using transfer learning and spatio-temporal features. We propose: (1) using feature maps from well-known pre-trained DNNs to predict rate-quality behavior with limited training data; and (2) improving highest quality rung efficiency by predicting minimum bitrate for top quality and using it for the top rung. The method tested on 102 video scenes demonstrates 94.1% reduction in complexity versus brute-force at 1.71% BD-Rate expense. Additionally, transfer learning was thoroughly studied through four networks and ablation studies.
| Comments: | 7 pages, 9 figures, 7 tables, Copyright 2024 IEEE - Presented in IEEE MVIP 2024 |
| Subjects: | Multimedia (cs.MM); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (cs.LG) |
| ACM classes: | I.4.2 |
| Cite as: | arXiv:2401.03195 [cs.MM] |
| (orarXiv:2401.03195v2 [cs.MM] for this version) | |
| https://doi.org/10.48550/arXiv.2401.03195 arXiv-issued DOI via DataCite | |
| Journal reference: | Proc. 2024 13th Iranian/3rd Int. Conf. Mach. Vis. Image Process. (MVIP) (2024) 1-7 |
| Related DOI: | https://doi.org/10.1109/MVIP62238.2024.10491154 DOI(s) linking to related resources |
Submission history
From: Ali Falahati [view email][v1] Sat, 6 Jan 2024 11:37:20 UTC (830 KB)
[v2] Thu, 14 Mar 2024 03:59:19 UTC (830 KB)
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View a PDF of the paper titled Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features, by Ali Falahati and 4 other authors
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