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Hierarchical Residual Encoding for Multiresolution Time Series Compression

Summary: Hierarchical Residual Encoding enables multiresolution time series compression from a single encoding, producing multiple fidelities. It reduces storage footprint and compression latency versus multi-resolution re-encoding, and offers faster decompression at high-accuracy demands. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6664
Venue
SIGMOD
Year
2023
Pagerank
5.8404094e-05
Overall Rank
6,556 | 55.03%
DOI
10.1145/3588953

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{barbarioli_sigmod23,
        title = {{Hierarchical Residual Encoding for Multiresolution Time Series Compression}},
        author = {Barbarioli, Bruno and Mersy, Gabriel and Sintos, Stavros and Krishnan, Sanjay},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588953},
        url = {https://dl.acm.org/doi/10.1145/3588953},
        year = {2023}
}

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