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Handbook of Video Databases Design and Applications 1st Edition by Borko Furht, Oge Marques ISBN 084937006X 9780849370069

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Handbook of Video Databases Design and Applications 1st Edition Borko Furht Digital Instant Download

Author(s): Borko Furht, Oge Marques
ISBN(s): 9780849370069, 084937006X
Edition: 1
File Details: PDF, 16.01 MB
Year: 2003
Language: english
SKU: EB-4149790 Category: Tags: ,

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ISBN 10: 084937006X 
ISBN 13: 9780849370069
Author: Borko Furht, Oge Marques

Technology has spurred the growth of huge image and video libraries, many growing into the hundreds of terabytes. As a result there is a great demand among organizations for the design of databases that can effectively support the storage, search, retrieval, and transmission of video data. Engineers and researchers in the field demand a comprehensive reference that will help them design and implement the most complex video database projects.Handbook of Video Databases: Design and Applications presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. This book provides the tools to help overcome the problems of storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data mining, and many other diverse disciplines.

Handbook of Video Databases Design and Applications 1st Table of contents:

PART I: Fundamentals of Video Databases

  1. Introduction to Video Databases
    1.1 Definition and Importance
    1.2 Types of Video Databases
    1.3 Evolution of Video Databases and Technologies
    1.4 Applications of Video Databases

  2. Video Data Representation and Formats
    2.1 Video Encoding and Compression
    2.2 Standard Video Formats
    2.3 Metadata in Video Databases
    2.4 Quality of Video Data: Resolution, Frame Rate, and Compression Techniques

  3. Video Storage and Retrieval Models
    3.1 Data Models for Video Databases
    3.2 Relational vs. Non-Relational Storage Models
    3.3 Video Indexing and Search Techniques
    3.4 Query Processing and Optimization for Video

PART II: Video Data Management
4. Video Indexing Techniques
4.1 Temporal and Spatial Indexing
4.2 Content-Based Video Indexing
4.3 Feature Extraction from Video Data
4.4 Machine Learning Approaches to Video Indexing

  1. Video Metadata and Annotation
    5.1 Metadata Generation for Video Data
    5.2 Semantic Video Annotation Techniques
    5.3 Automated vs. Manual Annotation
    5.4 The Role of Artificial Intelligence in Metadata Creation

  2. Video Storage Architectures
    6.1 Distributed Video Databases
    6.2 Cloud Storage for Video Data
    6.3 Performance and Scalability in Video Databases
    6.4 Data Integrity and Security

PART III: Applications of Video Databases
7. Multimedia Databases and Video Integration
7.1 Integration of Video with Other Multimedia Data Types
7.2 Audio-Visual Synchronization in Multimedia Databases
7.3 Case Studies: Multimedia Information Systems

  1. Video Retrieval Systems
    8.1 Text-Based Video Retrieval
    8.2 Content-Based Video Retrieval Techniques
    8.3 Visual and Audio-Based Query Systems
    8.4 User Interaction in Video Retrieval

  2. Video Databases in Surveillance and Security
    9.1 Surveillance Systems and Video Database Requirements
    9.2 Real-Time Video Monitoring and Analysis
    9.3 Video-Based Detection and Tracking Systems
    9.4 Security and Privacy Concerns in Surveillance Video Databases

  3. Applications in Digital Libraries and Archives
    10.1 Video as a Digital Library Resource
    10.2 Video Archiving and Preservation
    10.3 Metadata Standards for Video Archives
    10.4 Applications in Educational Video Libraries

PART IV: Advanced Topics and Future Directions
11. Video Analysis and Interpretation
11.1 Object Detection and Tracking in Video
11.2 Action Recognition and Event Detection
11.3 Gesture and Facial Recognition in Video Databases
11.4 Video Summarization and Abstraction Techniques

  1. Video Database Performance and Optimization
    12.1 Query Processing and Caching
    12.2 Index Structures for Large-Scale Video Databases
    12.3 Load Balancing and Resource Allocation
    12.4 Performance Metrics and Benchmarking

  2. Emerging Technologies in Video Databases
    13.1 Cloud Computing and Video Databases
    13.2 Big Data Approaches for Video Management
    13.3 Real-Time Video Streaming and Databases
    13.4 Blockchain and Video Data Security

  3. Future Directions and Trends
    14.1 AI and Deep Learning in Video Data Management
    14.2 Personalized Video Retrieval Systems
    14.3 The Impact of 5G and High-Resolution Video on Databases
    14.4 The Role of Augmented Reality (AR) and Virtual Reality (VR)

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Tags: Borko Furht, Oge Marques, Video Databases