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Visual Indexing and Retrieval

The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for acce...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Benois-Pineau, Jenny (Autor), Precioso, Frédéric (Autor), Cord, Matthieu (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Computer Science,
Temas:
Acceso en línea:Texto Completo

MARC

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100 1 |a Benois-Pineau, Jenny.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
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505 0 |a Introduction -- Visual feature extraction and description -- Machine learning approaches for visual information and retrieval -- Spatial and multi-resolution context in visual indexing -- Scalability issues in visual information retrieval -- Evaluation of visual information indexing and retrieval -- References. 
520 |a The research in content-based indexing and retrieval of visual information such as images and video has become one of the most populated directions in the vast area of information technologies. Social networks such as YouTube, Facebook, FileMobile, and DailyMotion host and supply facilities for accessing a tremendous amount of professional and user generated data. The areas of societal activity, such as, video protection and security, also generate thousands and thousands of terabytes of visual content. This book presents the most recent results and important trends in visual information indexing and retrieval. It is intended for young researchers, as well as, professionals looking for an algorithmic solution to a problem. 
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