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We consider the image and video compression on resource limited platforms. Anultra low-cost image encoder, named Block Modulating Video Compression (BMVC)with an encoding complexity ${\cal O}(1)$ is proposed to be implemented onmobile platforms with low consumption of power and computation resources. Wealso 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 isflexible to different compression ratios. And the second decoder is a memoryefficient end-to-end convolutional neural network, which aims for real-timedecoding. Extensive results on the high definition images and videosdemonstrate the superior performance of the proposed codec and the robustnessagainst bit quantization.

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms