Handbook of Image and Video Processing

Section IX: Image and Video Storage, Retrieval, and Communication

Chapters List

Chapter 9.1: Image and Video Indexing and Retrieval
Chapter 9.2: A Unified Framework for Video Summarization, Browsing, and Retrieval
Chapter 9.3: Video Communication Networks
Chapter 9.4: Joint Source-Channel Coding for Video Communications
Chapter 9.5: Watermarking Techniques for Image Authentication and Copyright Protection
Chapter 9.6: Visual Cryptography The Combinatorial and Halftoning Frameworks
Michael A. Smith Tsuhan Chen,
Carnegie Mellon University

1 Introduction

The amount of digital content, in the form of images and video, has been increasing exponentially in recent years. With increasing computing power and electronic storage capacity, the potential for large digital image/video libraries is growing rapidly. In particular, the World Wide Web has seen an increased use of digital images and video, which form the base of many entertainment, educational, and commercial applications. As a result, it has become more and more challenging for a user to search for the relevant information among a large amount of digital images or video. Image and video libraries therefore need to provide easy informational access and the retrieval information must be easy to locate, manage and display.

As the size of accessible image and video collections grows to thousands of hours, potential viewers will need abstractions and technology that help them browse effectively and efficiently. Text-based search algorithms offer some assistance in finding specific images or segments among large video collections. In most cases, however, these systems output many irrelevant images or video segments to ensure retrieval of pertinent information. Intelligent indexing systems are essential for optimal retrieval of image...

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