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Wednesday, December 2, 2020 | History

3 edition of Semantic video object segmentation for content-based multimedia applications found in the catalog.

Semantic video object segmentation for content-based multimedia applications

Ju Guo

Semantic video object segmentation for content-based multimedia applications

  • 278 Want to read
  • 35 Currently reading

Published by Kluwer Academic Publishers in Boston .
Written in English

    Subjects:
  • Multimedia systems.,
  • Digital video.

  • Edition Notes

    Includes bibliographical references and index.

    Statementby Ju Guo, C.-C. Jay Kuo.
    SeriesKluwer international series in engineering and computer science -- SECS 639
    ContributionsKuo, C.-C. Jay
    Classifications
    LC ClassificationsQA76.575 .G855 2001
    The Physical Object
    Paginationxvii, 106 p. :
    Number of Pages106
    ID Numbers
    Open LibraryOL20644036M
    ISBN 100792375130
    LC Control Number2001038480


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Semantic video object segmentation for content-based multimedia applications by Ju Guo Download PDF EPUB FB2

Semantic Video Object Segmentation for Content-Based Multimedia Applications (The Springer International Series in Engineering and Computer Science Book ) - Kindle edition by Ju Guo, C.-C. Jay Kuo. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Semantic Video Object Segmentation for. Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 Cited by: Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences.

Book: Semantic Video Object Segmentation for Content-based Multimedia Applications Authors: Ju Guo and C.-C. Jay Kuo Publisher: Kluwer Academic Publishers, (97 pages).

In: Semantic Video Object Segmentation for Content-Based Multimedia Applications. The Springer International Series in Engineering and Computer Science, vol Springer, Boston, MAAuthor: Ju Guo, C.-C. Jay Kuo. Guo J., Kuo CC.J. () Automatic Segmentation. In: Semantic Video Object Segmentation for Content-Based Multimedia Applications.

The Springer International Series in Engineering and Computer Science, vol Emerging multimedia applications demands content-based video processing. Video has to be segmented into objects for content-based processing.

A number of video object segmentation algorithms have been proposed such as semiautomatic and automatic. Semiautomatic methods adds burden to users and also not suitable for some applications.

In: Semantic Video Object Segmentation for Content-Based Multimedia Applications. The Springer International Series in Engineering and Computer Science, vol Springer, Boston, MA.

As content-based multimedia applications become increasingly important, demand for technologies on semantic video object segmentation is growing, where the segmented objects are expected to be in line with human visual perception.

Existing research is limited to semi-automatic approach, in which human intervene is often by: 5. In this paper, a color image segmentation algorithm and an approach to large-format image segmentation are presented, both focused on breaking down images to semantic objects for object-based multimedia by:.