Intelligent Multimedia Databases And Information Retrieval


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Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies


Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies

Author: Yan, Li

language: en

Publisher: IGI Global

Release Date: 2011-09-30


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As consumer costs for multimedia devices such as digital cameras and Web phones have decreased and diversity in the market has skyrocketed, the amount of digital information has grown considerably. Intelligent Multimedia Databases and Information Retrieval: Advancing Applications and Technologies details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases. Together with academic researchers and developers from both information retrieval and artificial intelligence fields, this book details issues and semantics of data retrieval with contributions from around the globe. As the information and data from multimedia databases continues to expand, the research and documentation surrounding it should keep pace as best as possible, and this book provides an excellent resource for the latest developments.

Multimedia Mining


Multimedia Mining

Author: Chabane Djeraba

language: en

Publisher: Springer Science & Business Media

Release Date: 2002-11-30


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Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines. Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

Intelligent Multimedia Databases and Information Retrieval


Intelligent Multimedia Databases and Information Retrieval

Author: Yan Li

language: en

Publisher:

Release Date: 2012


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"This book details the latest information retrieval technologies and applications, the research surrounding the field, and the methodologies and design related to multimedia databases"--Provided by publisher.