Pattern Recognition and Computer Vision - 8th Chinese Conference, PRCV 2025, Shanghai, China, October 15–18, 2025, Proceedings, Part VII

Summary

This 18-volume set constitutes the refereed proceedings of the 8th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2025, held in Shanghai, China, during October 15-18, 2025.

The 692 full papers included in this book, comprising 66 oral presentations and 626 posters, were carefully reviewed and selected from 2370 submissions.

PRCV's mission is to serve as a comprehensive platform for dialogues among researchers from both the academic field and the industry. While its primary focus is to encourage academic exchange, it also places emphasis on fostering ties between academia and industry, keeping abreast of leading academic innovations and to showcase the most recent research breakthroughs, pioneering thoughts, and advanced techniques in pattern recognition and computer vision.

Product details

• Assisted by: Xilin Chen (Editor), Josef Kittler (Editor), Weiyao Lin (Editor), Jiwen Lu (Editor), Hongkai Xiong (Editor), Jian Yang (Editor), Jingyi Yu (Editor), Weishi Zheng (Editor)
• Publisher: Springer EN
• Languages: English
• Product format: Paperback / Softback
• Release: 28.02.2026
• EAN: 9789819556755
• ISBN: 978-981-9556-75-5
• Illustrations: Approx. 640 p.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; Künstliche Intelligenz, machine learning, Maschinelles Lernen, Artificial Intelligence, Deep Learning, angewandte informatik, Netzwerk-Hardware, Systemanalyse und -design, Computer Vision, pattern recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Computer Communication Networks, Signal Processing, Computer System Implementation, Remote sensing, Image processing, object recognition, neural network, object tracking, Object detection, Document Analysis, video understanding, Action Recognition, biometric recognition, Multi-modal learning, character recognition