Abstract
Realizing the potential of neural codecs on real-world mobile devices is a big technological challenge due to the inherent conflict between the computational complexity of deep networks and the power-constrained mobile hardware performance. We demonstrate practical feasibility by leveraging Qualcomm's innovation and technology, bridging the gap from neural network-based model simulations to operation on a mobile device powered by Snapdragon® technology. We show the first-ever inter-frame neural video decoder running on a commercial mobile phone, decompressing high-definition videos in real-time while maintaining a low bitrate and high visual quality, comparable to conventional codecs.
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Le, H., Zhang, L., Said, A., Sautiere, G., Yang, Y., Shrestha, P., … Wiggers, A. (2022). MobileCodec: Neural Inter-frame Video Compression on Mobile Devices. In MMSys 2022 - Proceedings of the 13th ACM Multimedia Systems Conference (pp. 324–330). Association for Computing Machinery, Inc. https://doi.org/10.1145/3524273.3532906
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