Name: video object extraction and representation (en Inglés)
Price: 589035.00 COP
Availability: InStock
Author: I-Jong Lin ; Kung, S. Y.
ISBN: 9780792379744

portada video object extraction and representation (en Inglés)

Formato

Libro Físico

Autor

I-Jong Lin

S. Y. Kung

Editorial

Springer

Idioma

Inglés

N° páginas

177

Encuadernación

Tapa Dura

Dimensiones

23.2 x 17.9 x 1.7 cm

Peso

0.45 kg.

ISBN

0792379748

ISBN13

9780792379744

Categorías

Tecnología de la televisión
Aplicaciones gráficas y multimedia
Visión por ordenador

video object extraction and representation (en Inglés)

I-Jong Lin (Autor) · S. Y. Kung (Autor) · Springer · Tapa Dura

Libro Nuevo

$ 589.035

$ 906.207

Ahorras: $ 317.173

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 07 de Junio y el Viernes 21 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "video object extraction and representation (en Inglés)"

"If you have built castles in the air, your work need not be lost; that is where they should be. Now put the foundations under them. " - Henry David Thoreau, Walden Although engineering is a study entrenched firmly in belief of pr- matism, I have always believed its impact need not be limited to pr- matism. Pragmatism is not the boundaries that define engineering, just the (sometimes unforgiving) rules by which we sight our goals. This book studies two major problems of content-based video proce- ing for a media-based technology: Video Object Plane (VOP) Extr- tion and Representation, in support of the MPEG-4 and MPEG-7 video standards, respectively. After reviewing relevant image and video p- cessing techniques, we introduce the concept of Voronoi Ordered Spaces for both VOP extraction and representation to integrate shape infor- tion into low-level optimization algorithms and to derive robust shape descriptors, respectively. We implement a video object segmentation system with a novel surface optimization scheme that integrates Voronoi Ordered Spaces with existing techniques to balance visual information against predictions of models of a priori information. With these VOPs, we have explicit forms of video objects that give users the ability to - dress and manipulate video content. We outline a general methodology of robust data representation and comparison through the concept of complex partitioning mapped onto Directed Acyclic Graphs (DAGs).