telligent Image and Video Analytics: Clustering and Classification Applications

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, Big Data analytics, Machine Learning, neural network, and Deep Learning with focus on multimodality video analytics and recent advances in research/applications. We live in a new era of digital technology where many breakthroughs and applications have been witnessed due to the fusion of machine intelligence and image processing with video technology. Video contains rich information including meta-data, visual, audio, spatial, and temporal data. These data can be analyzed to extract a variety of low-level and high-level features to build predictive computational models using Machine Learning algorithms in order to discover interesting patterns, concepts, relations, associations, etc. There are numerous potential applications including human–machine interactions, smart surveillance cameras, smartphones, social media analysis, entertainment industries, video games and sports, medicine and healthcare, intelligent traffic systems, crowd management, biometrics, demographic analysis, intelligent manufacturing, and intelligent instructional systems. This book includes contributions to the state of the art and practice in intelligent image and video analytics addressing some of the applications and challenges in this field, as well as prototypes, systems, tools, and techniques. It also includes surveys presenting the state of the art of various applications in image and video analytics and discussing future directions of research and technology development. Features: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics. Explores important applications that require techniques from both Artificial Intelligence and Computer Vision. Describes multimodality video analytics for different applications. Examines issues related to multimodality data fusion and highlights research challenges. Integrates various techniques from video processing, data mining and Machine Learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities. This book aims at researchers, professionals and graduate students in image processing, video analytics, Computer Science and engineering, signal processing, Machine Learning, and electrical engineering.