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Paper Abstract and Keywords
Presentation 2025-03-07 16:05
An Estimation Method for Quality Degration Factors for Optimizing the Video Quality Towards Remote Monitoring of Autonomous Driving
Seiya Komatsu, Takuma Tsubaki, Taichi Kawano, Takuya Tojo (NTT) NS2024-268
Abstract (in Japanese) (See Japanese page) 
(in English) Legal requirements for demonstrations require clear monitoring to be achieved over mobile networks. However, the lack of uplink bandwidth and quality degradation due to time and geographical effects make it difficult to provide clear monitoring video transmission in the current mobile network. To achieve clear monitoring, improvement and fine control from various viewpoints, such as network control, video coding and quality prediction at each layer of the network and applications, are required. However, in Multi-Layer Control, it requires the identification of the cause from a massive log based on the causal relationship of each layer when video interruption or transmission quality degradation occurs, and feedback is required. Although previous research has proposed factor estimation methods that take causal relationships into consideration, it is difficult to estimate inputs whose causal relationships change over time. In this research, we propose a method to represent the relationship between features that change over time as a new feature vector and add it to the input features in a machine learning model that analyses video interruption from the logs collected at each layer. This method also calculates the importance of each feature using the Shapley value, enabling factor estimation for relationships between features that change over time, which could not be estimated in previous research. Evaluation on a dataset reflecting changes in relationships between features over time confirms that the proposed method is able to accurately estimate changes in relationships between features over time.
Keyword (in Japanese) (See Japanese page) 
(in English) Estimation Method / Explainable AI / Remote Monitoring / Autonomous Driving / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 419, NS2024-268, pp. 421-426, March 2025.
Paper # NS2024-268 
Date of Issue 2025-02-27 (NS) 
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 NS2024-268

Conference Information
Committee IN NS  
Conference Date 2025-03-06 - 2025-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2025-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) An Estimation Method for Quality Degration Factors for Optimizing the Video Quality Towards Remote Monitoring of Autonomous Driving 
Sub Title (in English)  
Keyword(1) Estimation Method  
Keyword(2) Explainable AI  
Keyword(3) Remote Monitoring  
Keyword(4) Autonomous Driving  
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1st Author's Name Seiya Komatsu  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Takuma Tsubaki  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Taichi Kawano  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Takuya Tojo  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2025-03-07 16:05:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2024-268 
Volume (vol) vol.124 
Number (no) no.419 
Page pp.421-426 
#Pages 6 
Date of Issue 2025-02-27 (NS) 

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