Abstract
Data compression techniques significantly improve storage efficiency, bandwidth utilization, and energy efficiency, yet they introduce challenges for the rapid browsing and retrieval of valuable information within compressed data. Existing approaches achieve high-speed, lossless matching by exploiting the context-free property of automata. However, they are constrained by the recursive reference structures in compressed data, which necessitate state copying to ensure matching safety.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - DCC 2026 |
| Subtitle of host publication | 2026 Data Compression Conference |
| Editors | Ali Bilgin, James E. Fowler, Joan Serra-Sagrista, Yan Ye, James A. Storer |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 465 |
| Number of pages | 1 |
| ISBN (Electronic) | 9798331582616 |
| DOIs | |
| State | Published - 2026 |
| Event | 2026 Data Compression Conference, DCC 2026 - Snowbird, United States Duration: 24 Mar 2026 → 27 Mar 2026 |
Publication series
| Name | Data Compression Conference Proceedings |
|---|---|
| ISSN (Print) | 1068-0314 |
| ISSN (Electronic) | 2375-0359 |
Conference
| Conference | 2026 Data Compression Conference, DCC 2026 |
|---|---|
| Country/Territory | United States |
| City | Snowbird |
| Period | 24/03/26 → 27/03/26 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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