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عنوان
Semantic Video Object Segmentation for Content-Based Multimedia Applications

پدید آورنده
by Ju Guo, C.-C. Jay Kuo.

موضوع
Computer science.,Computer vision.,Information storage and retrieval systems.,Multimedia systems.

رده

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9781461355861
(Number (ISBN
9781461515036

NATIONAL BIBLIOGRAPHY NUMBER

Number
b403180

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Semantic Video Object Segmentation for Content-Based Multimedia Applications
General Material Designation
[Book]
First Statement of Responsibility
by Ju Guo, C.-C. Jay Kuo.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Boston, MA :
Name of Publisher, Distributor, etc.
Imprint: Springer,
Date of Publication, Distribution, etc.
2002.

SERIES

Series Title
Springer International Series in Engineering and Computer Science,
Volume Designation
639
ISSN of Series
0893-3405 ;

SUMMARY OR ABSTRACT

Text of Note
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 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously. Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9781461355861

PIECE

Title
Springer eBooks

TOPICAL NAME USED AS SUBJECT

Computer science.
Computer vision.
Information storage and retrieval systems.
Multimedia systems.

PERSONAL NAME - PRIMARY RESPONSIBILITY

Guo, Ju.

PERSONAL NAME - ALTERNATIVE RESPONSIBILITY

Kuo, C.-C. Jay.

CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY

SpringerLink (Online service)

ORIGINATING SOURCE

Date of Transaction
20190307161900.0

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

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