Semantic Video Object Segmentation for Content-Based Multimedia Applications

Name: Semantic Video Object Segmentation for Content-Based Multimedia Applications
Brand: Springer-Verlag New York Inc.
SKU: 9781461355861
Price: 105.41 EUR
Availability: InStock

Автор: C.-C. Jay Kuo, Ju Guo

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough rev...

Информация за книгата

Автор

C.-C. Jay Kuo, Ju Guo

Език

Английски език

Корици

Книга - С меки корици

Издадена

2012

страници

109

EAN

9781461355861

ISBN

1461355869

Enbook ID

06796416

Издател

Springer-Verlag New York Inc.

Теглоt

219

Размери

155 x 235 x 8

Пълно описание

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.

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Semantic Video Object Segmentation for Content-Based Multimedia Applications

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