图书简介
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.
Chapter 1. Video Demographic Analytics of Social Media Users: Machine Learning ApproachSadam Al-Azani and El-Sayed M. El-Alfy
Chapter 2. Toward Long-Term Person Re-Identification with Deep LearningMuna O. AlMasawa, Kawthar Moria, and Lamiaa A. Elrefaei
Chapter 3. A Comprehensive Review of Crowd Behavior and Social Group Analysis Techniques in Smart SurveillanceElizabeth B Varghese and Sabu M Thampi
Chapter 4. Intelligent Traffic Video AnalyticsHadi Ghahremannezhad, Chengjun Liu, and Hang Shi
Chapter 5. Live Cell Segmentation and Tracking TechniquesYibing Wang, Onyekachi Williams, Nagasoujanya Annasamudram, and Sokratis Makrogiannis
Chapter 6. Quantum Image Analysis - Status and perspectivesKonstantinos Tziridis, Theofanis Kalampokas, and George A. Papakostas
Chapter 7. Visual Analytics for Automated Behaviour Understanding in Learning Environments: A Review of Opportunities, Emerging Methods, and ChallengesZafi Sherhan Syed, Faisal Karim Shaikh, Muhammad Shehram Shah Syed, and Abbas Syed
Chapter 8. Residual-driven Fuzzy C-Means Clustering for Image SegmentationCong Wang, Mengchu Zhou, Witold Pedrycz, and Zhiwu Li
Chapter 9. Intelligent Video Analytics: Person Re-identificationHua Han and Mengchu Zhou
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