Ebook: State-of-the-Art in Content-Based Image and Video Retrieval

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.
This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.
The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

---

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.
This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.
The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.

---

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.
This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.
The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.
Content:
Front Matter....Pages i-ix
Image Content Analysis and Description....Pages 1-19
Local Features for Image Retrieval....Pages 21-41
Fast Invariant Feature Extraction for Image Retrieval....Pages 43-68
Shape Description and Search for Similar Objects in Image Databases....Pages 69-95
Features in Content-Based Image Retrieval Systems: A Survey....Pages 97-124
Probabilistic Image Models for Object Recognition and Pose Estimation....Pages 125-142
Distribution-Based Image Similarity....Pages 143-164
Distribution-Free Statistics for Segmentation....Pages 165-190
Information Retrieval Methods for Multimedia Objects....Pages 191-212
New Descriptors for Image and Video Indexing....Pages 213-234
Facial and Motion Analysis for Image and Video Retrieval....Pages 235-254
Asymmetric Similarity Measures for Video Summarisation....Pages 255-278
Video Retrieval Using Semantic Data....Pages 279-295
Adaptable Similarity Search in Large Image Databases....Pages 297-317
Parallel NN-Search for Large Multimedia Repositories....Pages 319-343
Back Matter....Pages 345-345

---

Images and video play a crucial role in visual information systems and multimedia. There is an extraordinary number of applications of such systems in entertainment, business, art, engineering, and science. Such applications often involved large image and video collections, and therefore, searching for images and video in large collections is becoming an important operation. Because of the size of such databases, efficiency is crucial. We strongly believe that image and video retrieval need an integrated approach from fields such as image processing, shape processing, perception, database indexing, visualization, and querying, etc.
This book contains a selection of results that was presented at the Dagstuhl Seminar on Content-Based Image and Video Retrieval, in December 1999. The purpose of this seminar was to bring together people from the various fields, in order to promote information exchange and interaction among researchers who are interested in various aspects of accessing the content of image and video data. The book provides an overview of the state of the art in content-based image and video retrieval. The topics covered by the chapters are integrated system aspects, as well as techniques from image processing, computer vision, multimedia, databases, graphics, signal processing, and information theory.
The book will be of interest to researchers and professionals in the fields of multimedia, visual information (database) systems, computer vision, and information retrieval.
Content:
Front Matter....Pages i-ix
Image Content Analysis and Description....Pages 1-19
Local Features for Image Retrieval....Pages 21-41
Fast Invariant Feature Extraction for Image Retrieval....Pages 43-68
Shape Description and Search for Similar Objects in Image Databases....Pages 69-95
Features in Content-Based Image Retrieval Systems: A Survey....Pages 97-124
Probabilistic Image Models for Object Recognition and Pose Estimation....Pages 125-142
Distribution-Based Image Similarity....Pages 143-164
Distribution-Free Statistics for Segmentation....Pages 165-190
Information Retrieval Methods for Multimedia Objects....Pages 191-212
New Descriptors for Image and Video Indexing....Pages 213-234
Facial and Motion Analysis for Image and Video Retrieval....Pages 235-254
Asymmetric Similarity Measures for Video Summarisation....Pages 255-278
Video Retrieval Using Semantic Data....Pages 279-295
Adaptable Similarity Search in Large Image Databases....Pages 297-317
Parallel NN-Search for Large Multimedia Repositories....Pages 319-343
Back Matter....Pages 345-345
....