Advances in Intelligent Information Hiding and Multimedia Signal Processing

Chapter 1. An Efficient Multilevel Threshold Image Segmentation Approach Based on Rafflesia Optimization Algorithm.- Chapter 2. Distributed Face Biometric with Blockchain Federated Learning.- Chapter 3. Region Guide Point for Depth Estimation.- Chapter 4. Research on PLC Communication Technology in Intelligent Loading Control System.- Chapter 5. Combined Synchronization for Fractional-order Chaotic Systems with Time Delay.- Chapter 6. A New Four-dimensional Discrete Chaotic System Is Used for S-box Masking.- Chapter 7. A Parallel Gannet Optimization Algorithm with Communication Strategies (PGOA).- Chapter 8. Adaptive Target Tracking Algorithm Based on Template Updating and Graph-regularized Saliency.- Chapter 9. Fault Detection Method of Insulator Image based on Gabor Texture and Convolutional Neural Network.- Chapter 10. RGB-T Target Tracking based on Saliency with Graylevel Co-occurrence Matrix and KCF.- Chapter 11. An Optimal Power System Multi-objective Environmental Economic Planning Based on Moth-FLame Optimization.- Chapter 12. A Power-System Economic Dispatching Based on Enhanced Group Search Optimizer.- Chapter 13. Research Review on Security Protection Scheme of Distributed Photovoltaic Grid Connected Network.- Chapter 14. A Method of Constructing Fine-grained Pose Evaluation Model.- Chapter 15. Research on Meteorological Public Opinion Combining Domain Keywords and LinearSVC. etc.

Dr. Kazuhiro Kondo received the B.S. degree and the Ph.D. degree from the Electrical Engineering, Waseda University, Japan, in 1984 and 1998. He is currently a professor at Engineering, Yamagata University. He is responsible for research and education in the field of signal processing for communication. Specific interest fields include, but not limited to multimedia signal processing with emphasis on speech and video processing, 3D audio and its applications, active sound control, audio data hiding, speech intelligibility measurement and its objective estimations, and parametric speakers.

Dr. Mong-Fong Horng received his Ph.D. degree from the Computer Sciences and Information Engineering Department, National Cheng Kung University, Taiwan, in 2003. He now is an adjunct professor in the department of Electronic Engineering at the National Kaohsiung University of Science and Technology and Kaohsiung Medical University, Taiwan, since 2008 and 2012, respectively. He was also a technical director of the Institute of Information Industrial from 2018 to 2022. As of 2018, Dr. Horng had published 132 academic papers and 6 textbooks about his research. Based on the researches, Dr. Horng has been granted 14 Taiwan patents and 4 US patents. He served as a member of IEEE SMC Technical Committee on Computational Collective Intelligence and the president of the Taiwanese Association of Consumer Electronics (TACE) and Tainan Chapter, Signal Processing Society, IEEE. Dr. Horng contributed to the editorial boards of International Journal of Knowledge Engineering and Soft Data Paradigms published by Elsevier and Electronics. Dr. Horng has received awards from the Ministry of Science and Technology and Ministry of Education due to his outstanding performance in industrial cooperation and supervision of student competition. Dr. Horng has hosted 12 research projects funded by the Ministry of Science and Technology. His research interests include Computational Intelligence, the