Intelligent Image and Video Interpretation

Due to increasing potential in real-world applications such as visual communications, computer assisted biomedical imaging, and video surveillance, image and video interpretations have become an area of growing interest. Intelligent Image and Video Interpretation: Algorithms and Applications covers all aspects of image and video analysis from low-level early visions to high-level recognition. This publication highlights how these techniques have become applicable and will prove to be a valuable tool for researchers, professionals, and graduate students working or studying the fields of imaging and video processing.

Jing Tian received his B.Eng. degree (Electronic and Information Engineering), from School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, M.Eng. degree (Electronic and Information Engineering), from School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China, Ph.D. degree (Electrical and Electronic Engineering), from School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include image processing and computer vision.

Li Chen received the PhD degree in computer science and engineering from Nanyang Technological University, Singapore, in 2006. Currently he is an associate professor in the School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, China. His research interests include computer vision, visual surveillance, and image processing.