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Paper Abstract and Keywords
Presentation 2026-03-05 10:10
Analyzing the Impact of Object Characteristics on Accuracy-Bitrate Variations for Compressed Point Cloud Sequences
Farhan Krishna, Sumiko Miyata (Science Tokyo), Takamichi Miyata (Chiba Tech) IN2025-84
Abstract (in Japanese) (See Japanese page) 
(in English) Due to the large size of point cloud data, limited bandwidths during transmission may affect the object detection task performance and potentially degrade them. Particularly in environments with limited communication resources, uniform data compression compromises critical object shape information, significantly degrading the detection accuracy of distant and small-scale objects. This paper proposes a feedback-based bandwidth allocation method to address this issue. It transmits object detection performance metrics from the server to the sensors and allocates optimal communication resources to each sensor accordingly. Furthermore, to realize this proposed method, we conduct a detailed analysis of how bitrate fluctuations using G-PCC compression affect detection accuracy. Simulation results reveal that detection performance strongly depends not only on object appearance frequency and category but also on the distance characteristics of objects.
Keyword (in Japanese) (See Japanese page) 
(in English) Point cloud / Bandwidth / Object detection / G-PCC / Feedback / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 386, IN2025-84, pp. 132-137, March 2026.
Paper # IN2025-84 
Date of Issue 2026-02-25 (IN) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IN2025-84

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2026-03-IN-NS 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analyzing the Impact of Object Characteristics on Accuracy-Bitrate Variations for Compressed Point Cloud Sequences 
Sub Title (in English)  
Keyword(1) Point cloud  
Keyword(2) Bandwidth  
Keyword(3) Object detection  
Keyword(4) G-PCC  
Keyword(5) Feedback  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Farhan Krishna  
1st Author's Affiliation Institute of Science Tokyo (Science Tokyo)
2nd Author's Name Sumiko Miyata  
2nd Author's Affiliation Institute of Science Tokyo (Science Tokyo)
3rd Author's Name Takamichi Miyata  
3rd Author's Affiliation Chiba Institute of Technology (Chiba Tech)
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Speaker Author-1 
Date Time 2026-03-05 10:10:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2025-84 
Volume (vol) vol.125 
Number (no) no.386 
Page pp.132-137 
#Pages 6 
Date of Issue 2026-02-25 (IN) 

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