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.
The many academic areas covered in this publication include, but are not limited to:
This guide for professionals and researchers working in image and video processing in various disciplines will also be useful as a reference for advanced undergraduate and graduate students. The book covers theoretical and applied aspects of image and video recognition and interpretation and presents real-life applications in areas such as biomedical imaging, visual communications, and video surveillance. Some specific subjects addressed include audio and visual speech recognition, human activity interpretation in image and video sequences, dimension reduction of a local manifold learning algorithm for hyperspectral image classification, and image segmentation based on fuzzy entropy and bee colony algorithms. The editors are affiliated with Wuhan University of Science and Technology.