mlsanityData to 7 Oct 2026

MobileCodec: Neural Inter-frame Video Compression on Mobile Devices

arXiv 2207.08338 ↗First posted 18 Jul 2022cs.CV cs.MM eess.IVcited by 15

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Abstract (arXiv)

Realizing the potential of neural video codecs on mobile devices is a big technological challenge due to the computational complexity of deep networks and the power-constrained mobile hardware. We demonstrate practical feasibility by leveraging Qualcomm's technology and innovation, bridging the gap from neural network-based codec simulations running on wall-powered workstations, to real-time 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, decoding high-definition videos in real-time while maintaining a low bitrate and high visual quality.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 38 of its 51 references that are in the map. First posted on arXiv 18 Jul 2022.

Builds on

38 of 51 references.

References · 38

  1. 2018Variational image compression with a scale hyperpriorcited by 910
  2. 2016End-to-end Optimized Image Compressioncited by 673
  3. 2018Joint Autoregressive and Hierarchical Priors for Learned Image Compressioncited by 642
  4. 2017Video Enhancement with Task-Oriented Flowcited by 612
  5. 2021A White Paper on Neural Network Quantizationcited by 453
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  8. 2018DVC: An End-to-end Deep Video Compression Frameworkcited by 324
  9. 2020Channel-wise Autoregressive Entropy Models for Learned Image Compressioncited by 255
  10. 2016Full Resolution Image Compression with Recurrent Neural Networkscited by 170
  11. 2015Variable Rate Image Compression with Recurrent Neural Networkscited by 168
  12. 2021Implicit Neural Representations for Image Compressioncited by 161
26 more
  1. 2021FVC: A New Framework towards Deep Video Compression in Feature Spacecited by 149
  2. 2018Video Compression through Image Interpolationcited by 143
  3. 2020Nonlinear Transform Codingcited by 132
  4. 2018Conditional Probability Models for Deep Image Compressioncited by 128
  5. 2017Real-Time Adaptive Image Compressioncited by 127
  6. 2015Density Modeling of Images using a Generalized Normalization Transformationcited by 123
  7. 2020M-LVC: Multiple Frames Prediction for Learned Video Compressioncited by 106
  8. 2019Video Compression With Rate-Distortion Autoencoderscited by 97
  9. 2018Learned Video Compressioncited by 89
  10. 2019Non-local Attention Optimized Deep Image Compressioncited by 86
  11. 2016End-to-end optimization of nonlinear transform codes for perceptual qualitycited by 72
  12. 2021ELF-VC: Efficient Learned Flexible-Rate Video Codingcited by 68
  13. 2022Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Predictioncited by 55
  14. 2021Implicit Neural Video Compressioncited by 52
  15. 2020Conditional Entropy Coding for Efficient Video Compressioncited by 42
  16. 2021Overfitting for Fun and Profit: Instance-Adaptive Data Compressioncited by 38
  17. 2021Perceptual Learned Video Compression with Recurrent Conditional GANcited by 38
  18. 2019Computationally Efficient Neural Image Compressioncited by 31
  19. 2020Feedback Recurrent Autoencoder for Video Compressioncited by 30
  20. 2021Extending Neural P-frame Codecs for B-frame Codingcited by 30
  21. 2019Learned Video Compression via Joint Spatial-Temporal Correlation Explorationcited by 28
  22. 2019Learning Image and Video Compression through Spatial-Temporal Energy Compactioncited by 26
  23. 2021Progressive Neural Image Compression with Nested Quantization and Latent Orderingcited by 24
  24. 2021Video Frame Interpolation without Temporal Priorscited by 24
  25. 2020Learning to Compress Videos without Computing Motioncited by 7
  26. 2022Region-of-Interest Based Neural Video Compressioncited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 6; 2024: 5; 2025: 1; 2026: 2.

15 papers.

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  1. 2025Towards Practical Real-Time Neural Video Compressioncited by 72
  2. 2023C3: High-performance and low-complexity neural compression from a single image or videocited by 54
  3. 2022On Quantizing Implicit Neural Representationscited by 20
  4. 2023MobileNVC: Real-time 1080p Neural Video Compression on a Mobile Devicecited by 11
  5. 2023Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Informationcited by 9
  6. 2023Advancing The Rate-Distortion-Computation Frontier For Neural Image Compressioncited by 9
  7. 2026Ultra-Fast Neural Video Compressioncited by 3
  8. 2023ConvNeXt-ChARM: ConvNeXt-based Transform for Efficient Neural Image Compressioncited by 2
  9. 2024Low-Latency Neural Stereo Streamingcited by 2
  10. 2024Survey on Visual Signal Coding and Processing with Generative Models: Technologies, Standards and Optimizationcited by 2
  11. 2024High-Efficiency Neural Video Compression via Hierarchical Predictive Learningcited by 2
  12. 2023Effortless Cross-Platform Video Codec: A Codebook-Based Methodcited by 1
3 more
  1. 2026MLVC: Multi-platform Learned Video Codec for Real-World Deploymentcited by 1
  2. 2024A motion-based compression algorithm for resource-constrained video camera trapscited by 0
  3. 2024Accelerating Learned Video Compression via Low-Resolution Representation Learningcited by 0