Robust Video Content Analysis via Transductive Learning Methods

Name: Robust Video Content Analysis via Transductive Learning Methods
Brand: Südwestdeutscher Verlag für Hochschulschriften
SKU: 9783838101200
Price: 105.85 EUR
Availability: InStock

Автор: Ralph Ewerth

Език:

Корици: С меки корици

Издател: Südwestdeutscher Verlag für Hochschulschriften

Наличност: Външен склад

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105.85 € 207.03 лв

The amount of video data in the web and in archives§is growing permanently. This fact motivates the§...

Информация за книгата

Автор

Ralph Ewerth

Език

Английски език

Корици

Книга - С меки корици

Издадена

2008

страници

284

EAN

9783838101200

Enbook ID

06930527

Издател

Südwestdeutscher Verlag für Hochschulschriften

Теглоt

441

Размери

150 x 220 x 18

Пълно описание

The amount of video data in the web and in archives§is growing permanently. This fact motivates the§active research area of video indexing, search and§retrieval. Videos vary in many ways: in terms of§recording devices and circumstances, compression§technology, genre, and of course, in terms of§content. The research question addressed by this§Ph.D. thesis is how to build robust video content§analysis approaches that work reliably on arbitrary§videos. For this purpose, a transductive learning§framework is developed that is based on feature§selection and ensemble classification. Apart from§solutions based on the framework, some approaches§employ unsupervised learning or deal with compression§artefacts adequately. Solutions for several video§analysis problems are presented: shot boundary§detection, camera motion estimation, face§recognition, semantic concept detection and semantic§indexing of computer game sequences. Experimental§results on large test sets demonstrate the very good§performance of the approaches. Finally, some areas of§future work are outlined. This thesis is relevant for§students and researchers who are interested in the§field of video content analysis and retrieval.

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Robust Video Content Analysis via Transductive Learning Methods

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