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Information Processing on Compressed Data

http://hdl.handle.net/10228/0002000617
http://hdl.handle.net/10228/0002000617
54ae5260-3577-425d-808a-213241d204bd
名前 / ファイル ライセンス アクション
10430491.pdf 10430491.pdf (285 KB)
アイテムタイプ 図書 = Book(1)
公開日 2024-05-10
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_3248
資源タイプ book part
タイトル
タイトル Information Processing on Compressed Data
言語 en
言語
言語 eng
著者 Takabatake, Yoshimasa

× Takabatake, Yoshimasa

en Takabatake, Yoshimasa

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井, 智弘

× 井, 智弘

ja 井, 智弘


ja-Kana イ, トモヒロ

en I, Tomohiro


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坂本, 比呂志

× 坂本, 比呂志

en Sakamoto, Hiroshi

ja 坂本, 比呂志


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抄録
内容記述タイプ Abstract
内容記述 We survey our recent work related to information processing on compressed strings. Note that a “string” here contains any fixed-length sequence of symbols and therefore includes not only ordinary text but also a wide range of data, such as pixel sequences and time-series data. Over the past two decades, a variety of algorithms and their applications have been proposed for compressed information processing. In this survey, we mainly focus on two problems: recompression and privacy-preserving computation over compressed strings. Recompression is a framework in which algorithms transform a given compressed data into another compressed format without decompression. Recent studies have shown that a higher compression ratio can be achieved at lower cost by using an appropriate recompression algorithm such as preprocessing. Furthermore, various privacy-preserving computation models have been proposed for information retrieval, similarity computation, and pattern mining.
言語 en
書誌情報 発行日 2021-10-20
DOI
関連タイプ isIdenticalTo
識別子タイプ DOI
関連識別子 https://doi.org/10.1007/978-981-16-4095-7_6
ISBN
識別子タイプ ISBN
関連識別子 978-981-16-4094-0
ISBN
識別子タイプ ISBN
関連識別子 978-981-16-4095-7
著作権関連情報
権利情報Resource http://creativecommons.org/licenses/by/4.0/
権利情報 Copyright (c) The Author(s) 2022. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
研究者情報
https://hyokadb02.jimu.kyutech.ac.jp/html/186_ja.html
連携ID
12246
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