Intelligent Image and Video Analytics 1st Edition

Intelligent Image and Video Analytics 1st Edition by is a definitive, modern guide for anyone building or deploying advanced computer vision and video-analysis solutions. Clear, practical, and forward-looking, this book distills complex concepts into actionable strategies that professionals and students can apply across industries.

Explore state-of-the-art techniques in deep learning, object detection, tracking, semantic segmentation, action recognition, and real-time video pipelines. The book balances algorithmic foundations with system-level considerations — from model optimization and edge deployment to streaming architectures and evaluation metrics — so you can design scalable, high-performance solutions for surveillance, autonomous vehicles, retail analytics, healthcare imaging, and smart-city applications.

Packed with real-world examples and practical insights, this volume emphasizes robust engineering: dataset selection, annotation best practices, performance tuning, and considerations for privacy, ethics, and regulation. Whether you’re an engineer, data scientist, researcher, or technology manager, you’ll find clear guidance on turning research prototypes into production-grade systems that work reliably in North America, Europe, Asia-Pacific, and urban centers worldwide.

Readable yet rigorous, the book serves equally well as a classroom resource, professional reference, or executive briefing on the promise and pitfalls of image and video analytics. If you’re looking to stay competitive in AI-driven visual intelligence, this is the resource to guide your next project.

Order Intelligent Image and Video Analytics 1st Edition today and start transforming visual data into actionable intelligence for global, real-world applications.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.