The Essential Guide to Video Processing
This comprehensive and state-of-the art approach to video processing gives engineers and students a comprehensive introduction and includes full coverage of key applications: wireless video, video networks, video indexing and retrieval and use of video in speech processing. Containing all the essential methods in video processing alongside the latest standards, it is a complete resource for the professional engineer, researcher and graduate student.
- Numerous conceptual and numerical examples
- All the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVC
- Coverage of the latest techniques in video security
"Like its sister volume "The Essential Guide to Image Processing," Professor Bovik's Essential Guide to Video Processing provides a timely and comprehensive survey, with contributions from leading researchers in the area. Highly recommended for everyone with an interest in this fascinating and fast-moving field." -Prof. Bernd Girod, Stanford University, USA
* Edited by a leading person in the field who created the IEEE International Conference on Image Processing, with contributions from experts in their fields.
* Numerous conceptual and numerical examples
*All the latest standards are thoroughly covered: MPEG-1, MPEG-2, MPEG-4, H.264 and AVC.
* Coverage of the latest techniques in video security
Why Read This Book
You should read this book if you need a broad, engineering-oriented reference that ties video signal fundamentals to practical topics like motion estimation, compression standards (MPEG/H.264), video quality assessment, and indexing/retrieval. It collects concise, expert-written treatments that will help you move from theory to implementation and system-level considerations.
Who Will Benefit
Graduate students, R&D engineers, and practitioners in video, multimedia, and communications who need a comprehensive technical reference on video processing methods and standards.
Level: Advanced — Prerequisites: Solid background in linear systems and DSP (Fourier transforms, sampling), basic image-processing concepts (color spaces, filtering), and familiarity with probability/statistics and software such as MATLAB.
Key Takeaways
- Explain the sampling, representation, and color-space conventions used in digital video
- Implement and analyze motion estimation and motion-compensated prediction methods
- Understand and apply major video compression standards (MPEG family, H.264/AVC) and their algorithmic building blocks
- Evaluate video quality using objective metrics and relate them to perceptual criteria
- Design or use algorithms for video analysis tasks such as segmentation, indexing, and retrieval
- Apply security techniques for video such as watermarking and content protection
Topics Covered
- Introduction and overview of video processing
- Fundamentals of video signals: sampling, color spaces, and formats
- Transforms and subband representations for video
- Motion modeling, optical flow, and motion estimation
- Motion compensation and prediction techniques
- Video compression principles and rate-distortion theory
- Standards and codecs: MPEG-1/2/4 and H.264/AVC
- Video enhancement and restoration (denoising, deblocking)
- Video analysis: segmentation, object detection, and tracking
- Indexing, retrieval and content-based video search
- Video quality assessment and perceptual models
- Security, watermarking and rights management
- Applications: wireless video, streaming, and video networks
- Emerging topics and future directions in video processing
Languages, Platforms & Tools
How It Compares
Covers much of the same practical and standards-oriented ground as Wang/Ostermann/Zhang's Video Processing and Communications but is broader and more of an edited handbook (similar in spirit to Bovik's earlier Handbook of Image and Video Processing) with shorter, expert-contributed chapters.
