A Quantization Method for Haptic Data Lossy Compression

被引：0

作者：

Nakano, Tomohiro ^{[1
]}

Uozumi, Seiji ^{[1
]}

Johansson, Rolf ^{[2
]}

Ohnishi, Kouhei ^{[3
]}

机构：

[1] Keio Univ, Grad Sch Sci & Technol, Yokohama, Kanagawa, Japan

[2] Lund Univ, Dept Automat Control, Lund, Sweden

[3] Keio Univ, Dept Syst Design Engn, Yokohama, Kanagawa, Japan

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM) | 2015年

关键词：

MANIPULATOR; IMAGE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a quantization scheme for haptic data compression is proposed and the results of its application to a motion copying system are described. The data compression of image and audio data has been researched a lot. However, the data compression of haptic data has not been much researched yet although the amount of haptic data is large in general. The discrete cosine transform (DCT) is used for the lossy compression of haptic data in this paper. A new quantization scheme using characteristics of DCT is proposed. By using a proposed method, a larger signal-to-noise ratio compared to conventional method is achieved. In the experiment, the validity of the proposed method was verified.

引用

页码：126 / 131

页数：6

共 50 条

[21] Lossy Scientific Data Compression With SPERR
Li, Shaomeng
Lindstrom, Peter
Clyne, John
2023 IEEE INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, IPDPS, 2023, : 1007 - 1017
[22] Lossy compression of acoustic backscatter data
Goldschneider, JR
Bruce, AG
Percival, DB
DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS II, 1997, 3079 : 213 - 224
[23] WAVELET LOSSY COMPRESSION OF RANDOM DATA
Andrecut, M.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2009, 20 (01): : 109 - 116
[24] Data, compression by geometric quantization
Khumbah, NA
Wegman, EJ
RECENT ADVANCES AND TRENDS IN NONPARAMETRIC STATISTICS, 2003, : 35 - 46
[25] A Novel Lossy Image Compression Method
Akhtar, Nadeem
Khan, Salman
Siddiqui, Gufran
2014 FOURTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT), 2014, : 866 - 870
[26] Dynamic contrast-based quantization for lossy wavelet image compression
Chandler, DM
Hemami, SS
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2005, 14 (04) : 397 - 410
[27] QARV: Quantization-Aware ResNet VAE for Lossy Image Compression
Duan, Zhihao
Lu, Ming
Ma, Jack
Huang, Yuning
Ma, Zhan
Zhu, Fengqing
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 46 (01) : 436 - 450
[28] Lossy compression of grayscale document images by adaptive-offset quantization
Popat, K
DOCUMENT RECOGNITION AND RETRIEVAL VIII, 2001, 4307 : 149 - 157
[29] Haptic data compression by curve fitting
Guo, Fenghua
Zhang, Caiming
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2015, 27 (03): : 508 - 513
[30] Haptic Data Compression for Rehabilitation Databases
Kaneko, Takeshi
Ito, Shota
Sakaino, Sho
Tsuji, Toshiaki
2014 IEEE 13TH INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL (AMC), 2014,

← 1 2 3 4 5 →