Handbook of Image and Video Processing, 2nd Edition

9.1

Image and Video Indexing and Retrieval

Michael A. Smith and Tsuhan Chen,     Carnegie Mellon University

1 Introduction

1.1 Content Categories

1.2 Storage and Compression

2 Image and Video Features.

2.1 Statistical Features

2.2 Compressed Domain Features

2.3 Content-based Features

3 From Low-Level Features to High-Level Semantics

3.1 Off-Line Learning

3.2 On-Line Learning

4 Retrieval Techniques

4.1 Feature-based Retrieval (Statistical and Compressed)

4.2 Content-based Retrieval

4.3 Considerations in Multimedia Databases

5 Video Access and Browsing

6 The MPEG-7 Standard

7 Conclusion

References

1 Introduction

The amount of digital content, in the form of images and video, has been increasing exponentially in recent years. With ...