Last edited by Kajiktilar
Tuesday, July 28, 2020 | History

1 edition of Content-based video retrieval found in the catalog.

Content-based video retrieval

a database perspective

by Milan Petkovic

  • 197 Want to read
  • 2 Currently reading

Published .
Written in English

    Subjects:
  • Optical storage devices,
  • Video recordings,
  • Database management,
  • Multimedia systems,
  • Databases,
  • Content-based image retrieval

  • About the Edition

    This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented.

    Edition Notes

    Statementby Milan Petkovic, Willem Jonker
    SeriesKluwer international series in engineering and computer science, Multimedia systems and applications series -- 25, Kluwer international series in engineering and computer science, Multimedia systems and applications series -- 25.
    ContributionsJonker, Willem, 1962-
    Classifications
    LC ClassificationsTA1635
    The Physical Object
    Pagination1 online resource (x, 151 pages)
    Number of Pages151
    ID Numbers
    Open LibraryOL27027078M
    ISBN 101475748655, 1441953965
    ISBN 109781475748659, 9781441953964
    OCLC/WorldCa861705616

    Fundamentals of Content-Based Image and Video Retrieval Designing a Content-Based Image Retrieval System Designing a Content-Based Video Retrieval System A Survey of Content-Based Image Retrieval Systems / Remco C. Veltkamp and Mirela Tanase Case Study: MUSE. Series Title: Multimedia systems and applications series,   Content-based Video Retrieval refers to the provision of search facilities over archives of digital video content, where these search facilities are based on the outcome of an analysis of digital video content to extract indexable data for the search process.

    Content-based video retrieval and indexing have been associated with intelligent methods in many applications such as education, medicine and agriculture. However, an extensive and replicable review of the recent literature is : Newton Spolaôr, Huei Diana Lee, Weber Shoity Resende Takaki, Leandro Augusto Ensina, Claudio Saddy R. Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems.

    The organizers of the Second International Conference on Content-based Image and Video Retrieval – CIVR , sponsored by ACM (Association for Computing Machinery), credibly summarized the current relatively unchanged situation. 24 In the field of multimedia technologies, studies on VR and VDR are increasing, and can be considered the most. Title: Content based video retrieval system, Author: IJRET Editor, Name: Content based video retrieval system, Length: 6 pages, Page: 5, Published: Issuu company logo Issuu.


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Content-based video retrieval by Milan Petkovic Download PDF EPUB FB2

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 by: Content-Based Video Retrieval: A Database Perspective (Multimedia Systems and Applications Book 25) - Kindle edition by Petkovic, Milan, Jonker, Willem.

Download it once and read it on your Kindle device, PC, phones or cturer: Springer. 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 Cited by: 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.

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.

Content-Based Video Retrieval. Synonyms. Definition. Content-based Video Retrieval refers to the provision of search facilities over archives of digital video content, where these search facilities are based on the outcome of an analysis of digital video content.

Content based video retrieval is an approach for facilitating the searching and browsing of large image collections over World Wide Web.

In this approach, video analysis is conducted on low level. Automatic Content Based Retrieval and Semantic Classification of the Video Contents presented a learning framework where construction of a high-level video index is visualized through the synthesis.

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.

query-by-text retrieval technique, Content Based Video Retrieval (CBVR) is considered as one of the best practical solutions for better retrieval quality [6].

Due to exploitation of rich video content, there is a tremendous scope in area of video retrieval to enhance the performance of.

Free Download Content-Based Video Retrieval: A Database Perspective (Multimedia Systems and Applications) Content-Based Video Retrieval: A Database Perspective (Multimedia Systems and Applications) Pdf, Download.

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.

Discussions on video similarity, clustering and content-based video retrieval and browsing technologies are presented in Section Section concludes the chapter by giving an overview of current research issues in video content analysis, retrieval and by: 7.

One promising solution that enables searching multimedia data in general, and video data in particular, is the concept of content-based search and retrieval (Deb, ). The basic idea is to access video data by their contents—for example, using one of the visual content : Waleed E.

Farag. State-of-the-Art in Content-Based Image and Video Retrieval (Computational Imaging and Vision Book 22) - Kindle edition by Remco C. Veltkamp, Hans Burkhardt, Hans-Peter Kriegel.

Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading State-of-the-Art in Content-Based Image and Video Retrieval. This paper has discussed the Content based video retrieval concepts and the different areas of application of CBVR.

Video retrieval is like image retrieval, but with temporal coherence, context, and motion. Video segmentation identifies more homogeneous sequences of frames to further analyze.

Video features capture image characteristics and motion. 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 : Springer US.

Definition of Content-Based Video Retrieval (CBVR): A process framework for efficiently retrieving required clip from video.

The retrieval relies on the organization of video and non-linear search techniques. You are using a new version of the IGI Global website. Nowadays visual information is gaining much more importance than textual information as pictures convey more than words. As image has richer content than text, Video database is increasing exponentially over the Internet.

Content-based Video. This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval.

To prevent video retrieval from the plight of textual-based video retrieval, content-based video retrieval (CBVR) (Dimitrova et al.,Gaughan et al.,Rautiainen et al.,Zhu et al., ) has been brought to researchers’ attention for a long t considering the identification of the query terms, the users can obtain their desired videos by submitting her/his Cited by: Content based Video Retrieval Systems -Methods, Techniques, Trends and Challenges Article (PDF Available) in International Journal of Computer Applications (7) March with 2,Content-Based Multimedia Retrieval: /ch In the past decade, there has been rapid growth in the use of digital media, such as images, video, Cited by: 4.