Exploratory Image Databases. Content-Based Retrieval

✍ Scribed by Simone Santini (Auth.)

Publisher: Academic Press
Year: 2001
Tongue: English
Leaves: 607
Series: Communications, networking and multimedia
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Content:
Preface, Pages xiii-xvi
Acknowledgments, Pages xvii-xviii
1 - An Eerie Sense of Deja Vu, Pages 3-23
2 - The Mysterious Case of the Disappearing Semantics, Pages 25-53
3 - How You Can Know You Are Right, Pages 55-101
4 - Similarity, Pages 105-164
5 - Systems with Limited Ontologies, Pages 165-262
6 - Systems with General Ontologies, Pages 263-337
7 - Writing About Images, Pages 339-381
8 - Algebra and the Modern Query, Pages 385-445
9 - Where Is My Image?, Pages 447-515
10 - Of Mice and Men, Pages 517-577,I-IV
A - Traveling the World Wide Web, Pages 579-581
Bibliography, Pages 583-599
Index, Pages 601-613

📜 SIMILAR VOLUMES

Content-Based Video Retrieval: A Databas

📁 Content-Based Video Retrieval: A Database Perspective

✍ Milan Petković, Willem Jonker (auth.) 📂 Library 📅 2004 🏛 Springer US 🌐 English

The area of content-based video retrieval is a very hot area both for research and for commercial applications. In order to design effective video databases for applications such as digital libraries, video production, and a variety of Internet applications, there is a great need to develop effec

Content-based image and video retrieval

📁 Content-based image and video retrieval

✍ Oge Marques, Borko Furht (auth.) 📂 Library 📅 2002 🏛 Springer US 🌐 English

Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of t

Multimedia Systems and Content-Based Ima

📁 Multimedia Systems and Content-Based Image Retrieval

✍ Sagarmay Deb 📂 Library 📅 2003 🏛 Information Science Publishing 🌐 English

Text combines the important topics of multimedia systems and content-based image retrieval, relating one to the other. Provides an in-depth account of various issues regarding multimedia databases. For students and researchers. Softcover, hardcover available. DLC: Multimedia systems.

Semantic and Interactive Content-based I

📁 Semantic and Interactive Content-based Image Retrieval

✍ Björn Barz 📂 Library 📅 2020 🏛 Cuvillier 🌐 English

Content-based image retrieval (CBIR) aims for finding images in large databases such as the internet based on their content. Given an exemplary query image provided by the user, the retrieval system provides a ranked list of similar images. Most contemporary CBIR systems compare images solely by mea

Artificial intelligence for maximizing c

📁 Artificial intelligence for maximizing content based image retrieval

✍ IGI Global.; Ma, Zongmin (ed.) 📂 Library 📅 2009 🏛 IGI Global (701 E. Chocolate Avenue, Hershey, Penn 🌐 English

Section III -- Chapter IX. Solving the small and asymmetric sampling problem in the context of image retrieval / Ruofei Zhang, Zhongfei (Mark) Zhang -- Chapter X. Content analysis from user's relevance feedback for content-based image retrieval / Chia-Hung Wei, Chang-Tsun Li -- Chapter XI. Preferenc

Artificial intelligence for maximizing c

📁 Artificial intelligence for maximizing content based image retrieval

✍ Zongmin Ma, Zongmin Ma 📂 Library 📅 2009 🏛 Information Science Reference 🌐 English

The increasing trend of multimedia data use is likely to accelerate creating an urgent need of providing a clear means of capturing, storing, indexing, retrieving, analyzing, and summarizing data through image data. Artificial Intelligence for Maximizing Content Based Image Retrieval discuss