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Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceedings of the 20th IIHMSP 2024 in Conjunction with the 19th ISME 2024, October 4-6, 2024, Matsue City, Japan, Volume 1 / edited by Jeng-Shyang Pan, Junzo Watada, George A. Tsihrintzis, Tien-Wen Sung, Pei Hu.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Pan, Jeng-Shyang.
Series:
Smart Innovation, Systems and Technologies, 2190-3026 ; 47
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Multimedia systems.
Data protection.
Computational Intelligence.
Artificial Intelligence.
Multimedia Information Systems.
Data and Information Security.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Multimedia Information Systems.
Data and Information Security.
Physical Description:
1 online resource (563 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book presents selected papers from the 20th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the 19th ISME 2024, held on October 4–6, 2024, in Matsue, Japan. It is divided into two volumes and discusses latest research outcomes in the field of information technology (IT) including but not limited to information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and internet of things, and their applications.
Contents:
DustGAN Unpaired Learning for Dust Image Simulation Based on ASM with GANs
Benchmarking Single Image Dedusting
Deep Learning Application for Egg Quality Detection in Ephestia kuehniella
Efficient Architecture Search for Super-Resolution Residual Dense Networks via Heuristic Optimization
Discriminate the Authenticity of High Resolution Videos Based on Deep Learning
Fitness distance balance based Tumbleweed Algorithm.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
9789819644346
OCLC:
1572091570

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