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Introduction to Video Search Engines
Video search engines enable users to take advantage of constantly growing video resources like, for example, video on demand, Internet television and YouTube, for a wide variety of applications including entertainment, education and communications. David Gibbon and Zhu Liu describe the current state...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-79337-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220119025619.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 gw | s |||| 0|eng d | ||
| 020 | |a 9783540793373 |9 978-3-540-79337-3 | ||
| 024 | 7 | |a 10.1007/978-3-540-79337-3 |2 doi | |
| 050 | 4 | |a QA75.5-76.95 | |
| 072 | 7 | |a UNH |2 bicssc | |
| 072 | 7 | |a UND |2 bicssc | |
| 072 | 7 | |a COM030000 |2 bisacsh | |
| 072 | 7 | |a UNH |2 thema | |
| 072 | 7 | |a UND |2 thema | |
| 082 | 0 | 4 | |a 025.04 |2 23 |
| 100 | 1 | |a Gibbon, David C. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Introduction to Video Search Engines |h [electronic resource] / |c by David C. Gibbon, Zhu Liu. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a XVI, 276 p. 79 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Video Search -- Video Data Sources and Applications -- Internet Video -- Video Search Engine Systems -- Media Processing -- Video Processing -- Audio Processing -- Text Processing -- Multimodal Processing -- Research Systems -- Current Trends in Video Search. | |
| 520 | |a Video search engines enable users to take advantage of constantly growing video resources like, for example, video on demand, Internet television and YouTube, for a wide variety of applications including entertainment, education and communications. David Gibbon and Zhu Liu describe the current state of video search engine technology and inform us about opportunities to contribute to the development of this field. Their book has a practical emphasis with the goal of bringing readers up to date on the state of the art in multimedia search technologies and systems. It explains the overall process of video content acquisition, indexing and retrieval with browsing, it provides overviews of constituent technologies such as information retrieval, Internet video systems, video and multimedia processing to extract index data, and it gives examples of research prototypes and existing commercial systems and describes their features. In parallel with the functional discussion, a historical perspective is provided, including many references to academic and industrial sources. Background information on digital media encoding and streaming standards, and information retrieval is also offered, making the book self-contained. Introduction to Video Search Engines is intended for professionals and senior undergraduates or first-year graduate students in computer science or computer engineering, specializing in computer vision or multimedia systems. As multimedia search spans multiple disciplines, it is also valuable as a state-of-the-art reference for researchers and developers working in constituent technologies such as speech processing or information retrieval who seek to broaden their knowledge beyond their current areas of expertise. | ||
| 650 | 0 | |a Information storage and retrieval systems. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Application software. | |
| 650 | 0 | |a Natural language processing (Computer science). | |
| 650 | 1 | 4 | |a Information Storage and Retrieval. |
| 650 | 2 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Computer and Information Systems Applications. |
| 650 | 2 | 4 | |a Natural Language Processing (NLP). |
| 700 | 1 | |a Liu, Zhu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642098208 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540872122 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540793366 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-79337-3 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||