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Full Description
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.
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.
Contents
1. Video Demographic Analytics of Social Media Users: Machine Learning Approach. 2. Toward Long-Term Person Re-Identification with Deep Learning. 3. A Comprehensive Review of Crowd Behavior and Social Group Analysis Techniques in Smart Surveillance. 4. Intelligent Traffic Video Analytics. 5. Live Cell Segmentation and Tracking Techniques. 6. Quantum Image Analysis - Status and perspectives. 7. Visual Analytics for Automated Behaviour Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and Challenges. 8. Residual-driven Fuzzy C-Means Clustering for Image Segmentation. 9. Intelligent Video Analytics: Person Re-identification.
