DeepSIC: Deep Semantic Image Compression

@article{Luo2018DeepSICDS,
  title={DeepSIC: Deep Semantic Image Compression},
  author={Sihui Luo and Yezhou Yang and Ming-Li Song},
  journal={ArXiv},
  year={2018},
  volume={abs/1801.09468}
}
  • Sihui Luo, Yezhou Yang, Ming-Li Song
  • Published 2018
  • Computer Science
  • ArXiv
  • Incorporating semantic information into the codecs during image compression can significantly reduce the repetitive computation of fundamental semantic analysis (such as object recognition) in client-side applications. [...] Key Method The first architecture performs semantic analysis in the encoding process by reserving a portion of the bits from the compressed code to store the semantic representations.Expand Abstract
    11 Citations
    Image Compression with Encoder-Decoder Matched Semantic Segmentation
    • 1
    • PDF
    DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
    • 22
    • PDF
    Near-Lossless Deep Feature Compression for Collaborative Intelligence
    • Hyomin Choi, I. Bajic
    • Computer Science, Engineering
    • 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)
    • 2018
    • 16
    • PDF
    Conceptual Compression via Deep Structure and Texture Synthesis
    Improved Hybrid Layered Image Compression using Deep Learning and Traditional Codecs
    • 3
    • PDF
    Content-aware Deep Perceptual Image Compression
    • Yiping Duan, Yaqiang Zhang, +4 authors J. Lu
    • Computer Science
    • 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP)
    • 2019
    Deep Learning-Based Video Coding
    • 12
    • PDF
    Concept-Aware Web Image Compression Based on Crowdsourced Salient Object Detection
    Nonlinear Transform Coding
    • 2
    • PDF

    References

    SHOWING 1-10 OF 39 REFERENCES
    Lossy Image Compression with Compressive Autoencoders
    • 368
    • Highly Influential
    • PDF
    Real-Time Adaptive Image Compression
    • 251
    • Highly Influential
    • PDF
    Full Resolution Image Compression with Recurrent Neural Networks
    • 363
    • Highly Influential
    • PDF
    Variable Rate Image Compression with Recurrent Neural Networks
    • 244
    • Highly Influential
    • PDF
    Using very deep autoencoders for content-based image retrieval
    • 320
    • PDF
    Image Super-Resolution Using Dense Skip Connections
    • 414
    • PDF
    Fully Convolutional Networks for Semantic Segmentation
    • 7,713
    • PDF
    Deep Visual-Semantic Alignments for Generating Image Descriptions
    • A. Karpathy, Li Fei-Fei
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 2017
    • 1,542
    • PDF
    An overview of the JPEG 2000 still image compression standard
    • 652
    • PDF
    End-to-end Optimized Image Compression
    • 405
    • Highly Influential
    • PDF