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Paper Abstract and Keywords
Presentation 2026-04-09 13:40
Evaluation of the Effects of Long-Term Ad Memorability on QoE in Video Streaming Services
Aina Hashizume, Ryo Yamamoto, Satoshi Ohzahata (UEC) NS2026-7
Abstract (in Japanese) (See Japanese page) 
(in English) Many video streaming services adopt advertising-based revenue models to provide free or low-cost access. However, ad insertion often disrupts immersion and degrades Quality of Experience (QoE).
Similarity-based insertion methods aim to reduce intrusiveness by matching advertisements with video content.
While this approach can preserve viewing experience, it may reduce advertisement memorability and fail to enhance brand awareness.
In addition, advertising effectiveness is often measured using short-term memory, although long-term brand recall is more relevant to actual purchasing decisions.This study proposes an advertisement insertion method based on long-term memorability. We apply a pseudo-binary PCC search algorithm to the LAMBDA dataset of real advertisements and generate videos in which the memorability characteristics of content and advertisements are synchronized. We compare the proposed method with random insertion and also evaluate performance when monotonous videos are used as advertisements. Furthermore, we analyze the effects of different threshold initializations and iteration counts under computational constraints.Experimental results demonstrate the effectiveness of long-term memorability-based insertion and provide practical guidelines for configuring insertion strategies in real deployment environments.
Keyword (in Japanese) (See Japanese page) 
(in English) Video Streaming Services / Quantity of Experience / Ad Insertion / Long-Term memorability / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 2, NS2026-7, pp. 35-40, April 2026.
Paper # NS2026-7 
Date of Issue 2026-04-02 (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 NS2026-7

Conference Information
Committee NS  
Conference Date 2026-04-09 - 2026-04-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Yakushima Island Environmental and Cultural Village Center + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication traffic theory, Traffic and quality evaluation, Network performance evaluation, QoS/QoE, Reliability and robustness, Traffic and quality management, AI and machine learning, Network and system operation management, High capacity, low latency, many connections, General 
Paper Information
Registration To NS 
Conference Code 2026-04-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Evaluation of the Effects of Long-Term Ad Memorability on QoE in Video Streaming Services 
Sub Title (in English)  
Keyword(1) Video Streaming Services  
Keyword(2) Quantity of Experience  
Keyword(3) Ad Insertion  
Keyword(4) Long-Term memorability  
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1st Author's Name Aina Hashizume  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Ryo Yamamoto  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Satoshi Ohzahata  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2026-04-09 13:40:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2026-7 
Volume (vol) vol.126 
Number (no) no.2 
Page pp.35-40 
#Pages 6 
Date of Issue 2026-04-02 (NS) 

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