Publication | Open Access
MobileCodec
29
Citations
13
References
2022
Year
Unknown Venue
Conventional CodecsEngineeringMultimedia Signal ProcessingVideo Coding FormatNeural CodecsComputer EngineeringEmbedded Machine LearningComputer ScienceSnapdragon® TechnologyDeep LearningVideo TransformerModel CompressionComputer Vision
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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