Electrical Engineering and Systems Science > Image and Video Processing
arXiv:2411.19442 (eess)
[Submitted on 29 Nov 2024]
Title:MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices
View a PDF of the paper titled MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices, by Ali Hojjat and 2 other authors
View PDFHTML (experimental)Abstract:The rapid growth of camera-based IoT devices demands the need for efficient video compression, particularly for edge applications where devices face hardware constraints, often with only 1 or 2 MB of RAM and unstable internet connections. Traditional and deep video compression methods are designed for high-end hardware, exceeding the capabilities of these constrained devices. Consequently, video compression in these scenarios is often limited to M-JPEG due to its high hardware efficiency and low complexity. This paper introduces , an open-source adaptive bitrate video compression model tailored for resource-limited IoT settings. MCUCoder features an ultra-lightweight encoder with only 10.5K parameters and a minimal 350KB memory footprint, making it well-suited for edge devices and MCUs. While MCUCoder uses a similar amount of energy as M-JPEG, it reduces bitrate by 55.65% on the MCL-JCV dataset and 55.59% on the UVG dataset, measured in MS-SSIM. Moreover, MCUCoder supports adaptive bitrate streaming by generating a latent representation that is sorted by importance, allowing transmission based on available bandwidth. This ensures smooth real-time video transmission even under fluctuating network conditions on low-resource devices. Source code available atthis https URL.
| Subjects: | Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV) |
| Cite as: | arXiv:2411.19442 [eess.IV] |
| (orarXiv:2411.19442v1 [eess.IV] for this version) | |
| https://doi.org/10.48550/arXiv.2411.19442 arXiv-issued DOI via DataCite |
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View a PDF of the paper titled MCUCoder: Adaptive Bitrate Learned Video Compression for IoT Devices, by Ali Hojjat and 2 other authors
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