Exploratory Image Databases
Exploratory Image Databases

Author: Simone Santini

Publisher: Elsevier

Published: 2001-09-05

Total Pages: 637

ISBN-13: 0080506151

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The explosion of computer use and internet communication has placed new emphasis on the ability to store, retrieve and search for all types of images, both still photo and video images. The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research.Unlike text retrieval and text/numeric databases the challenges of image databases are enormous. How do you use "data mining" to search for an image if you do not have "key words" to search? Exploratory Image Databases introduces the idea that it is possible to solve this problem by merging database systems into a single search and browse activity called "exploration."Exploratory Image Databases is one of the first single-author books that unifies the critical emerging topic of image databases. A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches.Example: Imagine the difficulty of building and using a database for "face recognition," where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics.* Comprehensive coverage of the image analysis as well as the database/theoretical aspects of image databases. * Extensive coverage of interfaces and interaction models, with a theoretical framework for the development of new interaction schemes. * Identifies three interaction models between users and image databases, two of which have no counterpart in traditional databases. * Coverage of the relation between image and text, including mixed search models and the automatic determination of the relation between images and text on large corpuses like the web. * Analysis of the process of signification in images and its influence on the interaction models and technological problems of image databases.

Exploratory Image Databases
Exploratory Image Databases

Author: Simone Santini

Publisher:

Published: 2001

Total Pages: 613

ISBN-13: 9780126192612

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A new approach to image databases, the work is divided into four central parts: introduction to the problems that image database research must solve; computer vision and information retrieval techniques; image database issues; and interface and engines for visual searches. Example: Imagine the difficulty of building and using a database for "face recognition," where an image of a face is used. In order to effectively use the image a huge number of characteristics would need to be entered in the database. The goal of future image databases is to use hardware and software to recognize and categorize images without typing in characteristics. * Comprehensive coverage of the image analysis as well as the database/theoretical aspects of image databases. * Extensive coverage of interfaces and interaction models, with a theoretical framework for the development of new interaction schemes.-

Image Databases
Image Databases

Author: Vittorio Castelli

Publisher: John Wiley & Sons

Published: 2004-04-07

Total Pages: 609

ISBN-13: 0471464074

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The explosive growth of multimedia data transmission has generated a critical need for efficient, high-capacity image databases, as well as powerful search engines to retrieve image data from them. This book brings together contributions by an international all-star team of innovators in the field who share their insights into all key aspects of image database and search engine construction. Readers get in-depth discussions of the entire range of crucial image database architecture, indexing and retrieval, transmission, display, and user interface issues. And, using examples from an array of disciplines, the authors present cutting-edge applications in medical imagery, multimedia communications, earth science, remote sensing, and other major application areas.

Advanced Machine Learning Technologies and Applications
Advanced Machine Learning Technologies and Applications

Author: Aboul Ella Hassanien

Publisher: Springer

Published: 2014-11-04

Total Pages: 542

ISBN-13: 3319134612

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This book constitutes the refereed proceedings of the Second International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2014, held in Cairo, Egypt, in November 2014. The 49 full papers presented were carefully reviewed and selected from 101 initial submissions. The papers are organized in topical sections on machine learning in Arabic text recognition and assistive technology; recommendation systems for cloud services; machine learning in watermarking/authentication and virtual machines; features extraction and classification; rough/fuzzy sets and applications; fuzzy multi-criteria decision making; Web-based application and case-based reasoning construction; social networks and big data sets.

Advances in Visual Computing
Advances in Visual Computing

Author: George Bebis

Publisher: Springer Science & Business Media

Published: 2006-10-26

Total Pages: 936

ISBN-13: 3540486267

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The two volume set LNCS 4291 and LNCS 4292 constitutes the refereed proceedings of the Second International Symposium on Visual Computing, ISVC 2006, held in Lake Tahoe, NV, USA in November 2006. The 65 revised full papers and 56 poster papers presented together with 57 papers of ten special tracks were carefully reviewed and selected from more than 280 submissions. The papers cover the four main areas of visual computing.

Frontiers of Remote Sensing Information Processing
Frontiers of Remote Sensing Information Processing

Author: Chi-hau Chen

Publisher: World Scientific

Published: 2003

Total Pages: 629

ISBN-13: 9812383441

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... This book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination.

Mining Intelligence and Knowledge Exploration
Mining Intelligence and Knowledge Exploration

Author: Rajendra Prasath

Publisher: Springer

Published: 2013-12-16

Total Pages: 862

ISBN-13: 3319038443

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This book constitutes the proceedings of the First International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2013, held in Tamil Nadu, India on December 2013. The 82 papers presented were carefully reviewed and selected from 334 submissions. The papers cover the topics such as feature selection, classification, clustering, image processing, network security, speech processing, machine learning, information retrieval, recommender systems, natural language processing, language, cognition and computation and other certain problems in dynamical systems.

Adaptive Multimedia Retrieval. Context, Exploration and Fusion
Adaptive Multimedia Retrieval. Context, Exploration and Fusion

Author: Marcin Detyniecki

Publisher: Springer Science & Business Media

Published: 2012-01-09

Total Pages: 230

ISBN-13: 3642271685

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This book constitutes the refereed proceedings of the 8th International Conference on Adaptive Multimedia Retrieval, AMR 2010, held in Linz, Austria, in August 2010. The 14 revised full papers and the invited contribution presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Context-based personalization; media information fusion; video retrieval; audio and music retrieval; adaptive similarities; and finding and organizing.

Exploration of Visual Data
Exploration of Visual Data

Author: Sean Xiang Zhou

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 197

ISBN-13: 146150497X

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Exploration of Visual Data presents latest research efforts in the area of content-based exploration of image and video data. The main objective is to bridge the semantic gap between high-level concepts in the human mind and low-level features extractable by the machines. The two key issues emphasized are "content-awareness" and "user-in-the-loop". The authors provide a comprehensive review on algorithms for visual feature extraction based on color, texture, shape, and structure, and techniques for incorporating such information to aid browsing, exploration, search, and streaming of image and video data. They also discuss issues related to the mixed use of textual and low-level visual features to facilitate more effective access of multimedia data. Exploration of Visual Data provides state-of-the-art materials on the topics of content-based description of visual data, content-based low-bitrate video streaming, and latest asymmetric and nonlinear relevance feedback algorithms, which to date are unpublished.