Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms
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Abstract (arXiv)
We consider the image and video compression on resource limited platforms. An ultra low-cost image encoder, named Block Modulating Video Compression (BMVC) with an encoding complexity cal O(1) is proposed to be implemented on mobile platforms with low consumption of power and computation resources. We also develop two types of BMVC decoders, implemented by deep neural networks. The first BMVC decoder is based on the Plug-and-Play (PnP) algorithm, which is flexible to different compression ratios. And the second decoder is a memory efficient end-to-end convolutional neural network, which aims for real-time decoding. Extensive results on the high definition images and videos demonstrate the superior performance of the proposed codec and the robustness against bit quantization.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 20 of its 63 references that are in the map. First posted on arXiv 7 May 2022.
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20 of 63 references.
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8 more
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Citing papers per year: 2024: 1; 2025: 0; 2026: 2.
3 papers.