Abstract
This paper extends the forward-looking approach to handle alphabets of words, which leads to further compression savings. It introduces an efficient encoding for the header information, specifically the exact frequencies of the alphabet elements. Moreover, an alternative ordering method for compressing word-based dictionaries is proposed, emphasizing the benefits of forward-looking adaptive compression. Experimental results demonstrate the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - DCC 2024 |
| Subtitle of host publication | 2024 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 | 352-361 |
| Number of pages | 10 |
| ISBN (Electronic) | 9798350385878 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 Data Compression Conference, DCC 2024 - Snowbird, United States Duration: 19 Mar 2024 → 22 Mar 2024 |
Publication series
| Name | Data Compression Conference Proceedings |
|---|---|
| ISSN (Print) | 1068-0314 |
Conference
| Conference | 2024 Data Compression Conference, DCC 2024 |
|---|---|
| Country/Territory | United States |
| City | Snowbird |
| Period | 19/03/24 → 22/03/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- Huffman coding
- adaptive compression
- arithmetic encoding