Data management for multimedia retrieval:
Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval ef...
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2010
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| Links: | https://doi.org/10.1017/CBO9780511781636 |
| Summary: | Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking. |
| Physical Description: | 1 Online-Ressource (x, 489 Seiten) |
| ISBN: | 9780511781636 |
Staff View
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| spelling | Candan, K. Selçuk Data management for multimedia retrieval K. Selçuk Candan, Maria Luisa Sapino Cambridge Cambridge University Press 2010 1 Online-Ressource (x, 489 Seiten) txt c cr Multimedia data require specialised management techniques because the representations of colour, time, semantic concepts, and other underlying information can be drastically different from one another. This textbook on multimedia data management techniques gives a unified perspective on retrieval efficiency and effectiveness. It provides a comprehensive treatment, from basic to advanced concepts, that will be useful to readers of different levels, from advanced undergraduate and graduate students to researchers and to professionals. After introducing models for multimedia data (images, video, audio, text, and web) and for their features, such as colour, texture, shape, and time, the book presents data structures and algorithms that help store, index, cluster, classify, and access common data representations. The authors also introduce techniques, such as relevance feedback and collaborative filtering, for bridging the 'semantic gap' and present the applications of these to emerging topics, including web and social networking. Sapino, Maria Luisa Erscheint auch als Druck-Ausgabe 9780521887397 |
| spellingShingle | Candan, K. Selçuk Data management for multimedia retrieval |
| title | Data management for multimedia retrieval |
| title_auth | Data management for multimedia retrieval |
| title_exact_search | Data management for multimedia retrieval |
| title_full | Data management for multimedia retrieval K. Selçuk Candan, Maria Luisa Sapino |
| title_fullStr | Data management for multimedia retrieval K. Selçuk Candan, Maria Luisa Sapino |
| title_full_unstemmed | Data management for multimedia retrieval K. Selçuk Candan, Maria Luisa Sapino |
| title_short | Data management for multimedia retrieval |
| title_sort | data management for multimedia retrieval |
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