Video Search Transformed by Content Analysis! 'Practical AI Video Search: A Search System Realized with RAG' Published - New June Release in the 'Technology Springs' Series
Key facts
- Video Search Transformed by Content Analysis! 'Practical AI Video Search: A Search System Realized with RAG' Published - New June Release in the 'Technology Springs' Series
- Impress Corporation will publish 'Practical AI Video Search: A Search System Realized with RAG', a technical book explaining how to implement AI-powered video content search, in June 2025 as part of its 'Technology Springs' series. Authored by Yuta Ito, the book covers building a search system that combines multimodal analysis and RAG, complete with practical code examples.
- Source: PR Times
- Date: June 10, 2026
Direct answer
Impress Corporation will publish 'Practical AI Video Search: A Search System Realized with RAG', a technical book explaining how to implement AI-powered video content search, in June 2025 as part of its 'Technology Springs' series. Authored by Yuta Ito, the book covers building a search system that combines multimodal analysis and RAG, complete with practical code examples.
- Citation
- Video Search Transformed by Content Analysis! 'Practical AI Video Search: A Search System Realized with RAG' Published - New June Release in the 'Technology Springs' Series (June 10, 2026), PR Times
- Source
- PR Times
- Date
- June 10, 2026
Impress Corporation will publish 'Practical AI Video Search: A Search System Realized with RAG', a technical book explaining how to implement AI-powered video content search, in June 2025 as part of its 'Technology Springs' series. Authored by Yuta Ito, the book covers building a search system that combines multimodal analysis and RAG, complete with practical code examples.
📋 Article Processing Timeline
- 📰 Published: June 10, 2026 at 20:00
- 🔍 Collected: June 10, 2026 at 11:21
- 🤖 AI Analyzed: June 10, 2026 at 19:56 (8h 35m after Collected)
Impress Corporation (Headquarters: Chiyoda-ku, Tokyo; Representative Director and President: Takashi Takahashi), which operates IT-related media businesses within the Impress Group, will publish 'Practical AI Video Search: A Search System Realized with RAG' (Author: Yuta Ito) under the Impress NextPublishing imprint.
The 'Technology Springs' series, which disseminates the latest knowledge, aims to contribute to the spread and development of technical doujinshi by publishing commercial books based on technical doujinshi distributed at various sales events such as 'Tech Book Festival' and 'Technical Doujinshi Expo', as well as study groups and lightning talk sessions.
'Practical AI Video Search'
https://nextpublishing.jp/isbn/9784295604792
Author: Yuta Ito
Suggested Retail Price: E-book edition: 1,800 yen (excluding tax) / Printed book edition: 2,000 yen (excluding tax)
E-book format: EPUB3
Printed book specifications: B5 / Color / 94 pages
ISBN: 978-4-295-60479-2
Publisher: Impress NextPublishing
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This book covers the implementation methods for technology that enables searching based on the content of videos themselves using AI. Addressing the current challenge where video search relies on metadata like titles and descriptions and cannot directly search the content of videos, this book clearly presents the mechanism of video understanding through multimodal analysis of video, audio, and text, and how it differs from conventional search methods. In building a basic pipeline for scene search from video, it introduces the entire flow—from loading video and acquiring metadata, to detecting scene boundaries, extracting text through speech recognition and OCR, generating image captions, and building a search index via multimodal embedding—along with actual working code. It also details the concepts of embedding vectors, similarity calculation, and the use of vector databases for efficient search. Furthermore, by explaining the basic mechanism of RAG and its application to video search, it clarifies why combining search and generation can provide more accurate search results. The book is structured so readers can try the entire process—from video upload to scene analysis, vector registration, and natural language search—using a demo application. This is a must-read for anyone interested in video analysis and multimodal AI.
(Impress NextPublishing inherits the digital-first publishing model developed by Impress R&D Co., Ltd., realizing a wide range of publishing projects quickly and sustainably through e-books and on-demand printing.)
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Introduction
Chapter 1: About Video Search
Chapter 2: Content-Based Video Search
Chapter 3: Building a Basic Pipeline for Video Scene Search
Chapter 4: Building the Search Infrastructure
Chapter 5: Expanding Video Scene Search with RAG
Chapter 6: Running the Demo Application 'video-search'
Chapter 7: Methods for Improving Video Search Accuracy
Chapter 8: Practical Use Cases
Chapter 9: Troubleshooting
Conclusion
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