Name: Semantic Video Object Segmentation for Content-Based Multimedia Applications (en Inglés)
Price: 185220.00 CLP
Availability: InStock
Author: Ju Guo ; Kuo, C. -C Jay
ISBN: 9781461355861

portada Semantic Video Object Segmentation for Content-Based Multimedia Applications (en Inglés)

Formato

Libro Físico

Autor

Yanjun Guo

C. -C Jay Kuo

Editorial

Springer

Idioma

Inglés

N° páginas

109

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.7 cm

Peso

0.20 kg.

ISBN13

9781461355861

Categorías

Ingeniería electrónica
Aplicaciones gráficas y multimedia
Ciencias de la computación

Semantic Video Object Segmentation for Content-Based Multimedia Applications (en Inglés)

Yanjun Guo (Autor) · C. -C Jay Kuo (Autor) · Springer · Tapa Blanda

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Reseña del libro "Semantic Video Object Segmentation for Content-Based Multimedia Applications (en Inglés)"

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.