Content Based Video Retrieval

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Content-Based Image and Video Retrieval

Oge Marques,Borko Furht
Content Based Image and Video Retrieval Book PDF

Author : Oge Marques,Borko Furht
Publisher : Springer Science & Business Media
Page : 189 pages
File Size : 46,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461509875

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Content-Based Image and Video Retrieval by Oge Marques,Borko Furht Pdf

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 the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.

Content-Based Video Retrieval

Milan Petković,Willem Jonker
Content Based Video Retrieval Book PDF

Author : Milan Petković,Willem Jonker
Publisher : Springer Science & Business Media
Page : 168 pages
File Size : 41,7 Mb
Release : 2003-10-31
Category : Computers
ISBN : 1402076177

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Content-Based Video Retrieval by Milan Petković,Willem Jonker Pdf

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 effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book.

Concept-Based Video Retrieval

Cees G. M. Snoek,Marcel Worring
Concept Based Video Retrieval Book PDF

Author : Cees G. M. Snoek,Marcel Worring
Publisher : Now Publishers Inc
Page : 123 pages
File Size : 42,7 Mb
Release : 2009
Category : Database management
ISBN : 9781601982346

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Concept-Based Video Retrieval by Cees G. M. Snoek,Marcel Worring Pdf

In this paper, we review 300 references on video retrieval, indicating when text-only solutions are unsatisfactory and showing the promising alternatives which are in majority concept-based. Therefore, central to our discussion is the notion of a semantic concept: an objective linguistic description of an observable entity. Specifically, we present our view on how its automated detection, selection under uncertainty, and interactive usage might solve the major scientific problem for video retrieval: the semantic gap. To bridge the gap, we lay down the anatomy of a concept-based video search engine. We present a component-wise decomposition of such an interdisciplinary multimedia system, covering influences from information retrieval, computer vision, machine learning, and human-computer interaction. For each of the components we review state-of-the-art solutions in the literature, each having different characteristics and merits. Because of these differences, we cannot understand the progress in video retrieval without serious evaluation efforts such as carried out in the NIST TRECVID benchmark. We discuss its data, tasks, results, and the many derived community initiatives in creating annotations and baselines for repeatable experiments. We conclude with our perspective on future challenges and opportunities.

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

Remco C. Veltkamp,Hans Burkhardt,Hans-Peter Kriegel
State of the Art in Content Based Image and Video Retrieval Book PDF

Author : Remco C. Veltkamp,Hans Burkhardt,Hans-Peter Kriegel
Publisher : Springer Science & Business Media
Page : 349 pages
File Size : 41,9 Mb
Release : 2013-04-17
Category : Computers
ISBN : 9789401596640

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State-of-the-Art in Content-Based Image and Video Retrieval by Remco C. Veltkamp,Hans Burkhardt,Hans-Peter Kriegel Pdf

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-Based Video Retrieval

Milan Petkovic,Willem Jonker
Content Based Video Retrieval Book PDF

Author : Milan Petkovic,Willem Jonker
Publisher : Springer Science & Business Media
Page : 157 pages
File Size : 53,7 Mb
Release : 2013-06-29
Category : Computers
ISBN : 9781475748659

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Content-Based Video Retrieval by Milan Petkovic,Willem Jonker Pdf

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 effective techniques for content-based video retrieval. One of the main issues in this area of research is how to bridge the semantic gap between low-Ievel features extracted from a video (such as color, texture, shape, motion, and others) and semantics that describe video concept on a higher level. In this book, Dr. Milan Petkovi6 and Prof. Dr. Willem Jonker have addressed this issue by developing and describing several innovative techniques to bridge the semantic gap. The main contribution of their research, which is the core of the book, is the development of three techniques for bridging the semantic gap: (1) a technique that uses the spatio-temporal extension of the Cobra framework, (2) a technique based on hidden Markov models, and (3) a technique based on Bayesian belief networks. To evaluate performance of these techniques, the authors have conducted a number of experiments using real video data. The book also discusses domains solutions versus general solution of the problem. Petkovi6 and Jonker proposed a solution that allows a system to be applied in multiple domains with minimal adjustments. They also designed and described a prototype video database management system, which is based on techniques they proposed in the book.

Multimedia Systems and Content-based Image Retrieval

Sagarmay Deb
Multimedia Systems and Content based Image Retrieval Book PDF

Author : Sagarmay Deb
Publisher : IGI Global
Page : 407 pages
File Size : 52,6 Mb
Release : 2004-01-01
Category : Technology & Engineering
ISBN : 9781591401568

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Multimedia Systems and Content-based Image Retrieval by Sagarmay Deb Pdf

Business intelligence has always been considered an essential ingredient for success. However, it is not until recently that the technology has enabled organizations to generate and deploy intelligence for global competition. These technologies can be leveraged to create the intelligent enterprises of the 21st century that will not only provide excellent and customized services to their customers, but will also create business efficiency for building relationships with suppliers and other business partners on a long term basis. Creating such intelligent enterprises requires the understanding and integration of diverse enterprise components into cohesive intelligent systems. Anticipating that future enterprises need to become intelligent, Intelligent Enterprises of the 21st Century brings together the experiences and knowledge from many parts of the world to provide a compendium of high quality theoretical and applied concepts, methodologies, and techniques that help diffuse knowledge and skills required to create and manage intelligent enterprises of the 21st century for gaining sustainable competitive advantage in a global environment. This book is a comprehensive compilation of the state of the art vision and thought processes needed to design and manage globally competitive business organizations.

Innovations in Computer Science and Engineering

H. S. Saini,Rishi Sayal,Aliseri Govardhan,Rajkumar Buyya
Innovations in Computer Science and Engineering Book PDF

Author : H. S. Saini,Rishi Sayal,Aliseri Govardhan,Rajkumar Buyya
Publisher : Springer
Page : 607 pages
File Size : 40,5 Mb
Release : 2019-06-18
Category : Technology & Engineering
ISBN : 9789811370823

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Innovations in Computer Science and Engineering by H. S. Saini,Rishi Sayal,Aliseri Govardhan,Rajkumar Buyya Pdf

This book includes high-quality, peer-reviewed research papers from the 6thInternational Conference on Innovations in Computer Science & Engineering (ICICSE 2018), held at Guru Nanak Institutions, Hyderabad, India from August 17 to 18, 2018. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques and offers a platform for researchers from academia and industry to present their original work and exchange ideas, information, techniques and applications in the field of computer science.

Content-Based Analysis of Digital Video

Alan Hanjalic
Content Based Analysis of Digital Video Book PDF

Author : Alan Hanjalic
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 47,5 Mb
Release : 2007-05-08
Category : Computers
ISBN : 9781402081156

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Content-Based Analysis of Digital Video by Alan Hanjalic Pdf

Content-Based Analysis Of Digital Video focuses on fundamental issues underlying the development of content access mechanisms for digital video. It treats topics that are critical to successfully automating the video content extraction and retrieval processes, and includes coverage of: - Video parsing, - Video content indexing and representation, - Affective video content analysis. In this well illustrated book the author integrates related information currently scattered throughout the literature and combines it with new ideas into a unified theoretical approach to video content analysis. The material also suggests ideas for future research. Systems developers, researchers and students working in the area of content-based analysis and retrieval of video and multimedia in general will find this book invaluable.

Content-Based Image Retrieval

Vipin Tyagi
Content Based Image Retrieval Book PDF

Author : Vipin Tyagi
Publisher : Springer
Page : 378 pages
File Size : 44,8 Mb
Release : 2018-01-15
Category : Computers
ISBN : 9789811067594

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Content-Based Image Retrieval by Vipin Tyagi Pdf

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies. The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Image and Video Retrieval

Peter Enser,Yiannis Kompatsiaris,Noel E. O'Connor,Alan Smeaton,Arnold W.M. Smeulders
Image and Video Retrieval Book PDF

Author : Peter Enser,Yiannis Kompatsiaris,Noel E. O'Connor,Alan Smeaton,Arnold W.M. Smeulders
Publisher : Springer Science & Business Media
Page : 694 pages
File Size : 55,9 Mb
Release : 2004-07-08
Category : Computers
ISBN : 9783540225393

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Image and Video Retrieval by Peter Enser,Yiannis Kompatsiaris,Noel E. O'Connor,Alan Smeaton,Arnold W.M. Smeulders Pdf

This book constitutes the refereed proceedings of the Third International Conference on Image and Video Retrieval, CIVR 2004, held in Dublin, Ireland in July 2004. The 31 revised full papers and 44 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on image annotation and user searching, image and video retrieval algorithms, person and event identification for retrieval, content-based image and video retrieval, and user perspectives.

Advances in Swarm Intelligence

Ying Tan,Yuhui Shi,KAY CHEN TAN
Advances in Swarm Intelligence Book PDF

Author : Ying Tan,Yuhui Shi,KAY CHEN TAN
Publisher : Springer Science & Business Media
Page : 767 pages
File Size : 43,8 Mb
Release : 2010-06
Category : Computers
ISBN : 9783642134975

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Advances in Swarm Intelligence by Ying Tan,Yuhui Shi,KAY CHEN TAN Pdf

The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online.

Artificial Intelligence for Maximizing Content Based Image Retrieval

Ma, Zongmin
Artificial Intelligence for Maximizing Content Based Image Retrieval Book PDF

Author : Ma, Zongmin
Publisher : IGI Global
Page : 450 pages
File Size : 53,8 Mb
Release : 2009-01-31
Category : Computers
ISBN : 9781605661759

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Artificial Intelligence for Maximizing Content Based Image Retrieval by Ma, Zongmin Pdf

Discusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field.

Semantic-Based Visual Information Retrieval

Zhang, Yu-Jin
Semantic Based Visual Information Retrieval Book PDF

Author : Zhang, Yu-Jin
Publisher : IGI Global
Page : 368 pages
File Size : 40,6 Mb
Release : 2006-11-30
Category : Computers
ISBN : 9781599043722

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Semantic-Based Visual Information Retrieval by Zhang, Yu-Jin Pdf

"This book presents state-of-the-art advancements and developments in the field, and also brings a selection of techniques and algorithms about semantic-based visual information retrieval. It covers many critical issues, such as: multi-level representation and description, scene understanding, semantic modeling, image and video annotation, human-computer interaction, and more"--Provided by publisher.

Multimedia Information Retrieval and Management

David Feng,W.C. Siu,Hong Jiang Zhang
Multimedia Information Retrieval and Management Book PDF

Author : David Feng,W.C. Siu,Hong Jiang Zhang
Publisher : Springer Science & Business Media
Page : 494 pages
File Size : 43,5 Mb
Release : 2013-04-17
Category : Technology & Engineering
ISBN : 9783662053003

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Multimedia Information Retrieval and Management by David Feng,W.C. Siu,Hong Jiang Zhang Pdf

Everything you ever wanted to know about multimedia retrieval and management. This comprehensive book offers a full picture of the cutting-edge technologies necessary for a profound introduction to the field. Leading experts also cover a broad range of practical applications.

Multimedia Retrieval

Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
Multimedia Retrieval Book PDF

Author : Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng
Publisher : Springer Science & Business Media
Page : 384 pages
File Size : 48,6 Mb
Release : 2007-08-13
Category : Computers
ISBN : 9783540728955

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Multimedia Retrieval by Henk M. Blanken,Arjen P. de Vries,Henk Ernst Blok,Ling Feng Pdf

Based on more than 10 years of teaching experience, Blanken and his coeditors have assembled all the topics that should be covered in advanced undergraduate or graduate courses on multimedia retrieval and multimedia databases. The single chapters of this textbook explain the general architecture of multimedia information retrieval systems and cover various metadata languages such as Dublin Core, RDF, or MPEG. The authors emphasize high-level features and show how these are used in mathematical models to support the retrieval process. For each chapter, there’s detail on further reading, and additional exercises and teaching material is available online.