£120.78

Springer Multimedia Information Retrieval - Text and Audio Book

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Description

As digital data repositories and digital libraries expand, the ability to find specific, relevant information becomes more important. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the growing demand for advanced search techniques. This book focuses on the need for methods that provide the most relevant bits of data rather than just reducing file sizes. Part of The Springer International Series in Engineering and Computer Science (397), this text explores how to manage and search through massive amounts of multimedia data. It is designed to bridge the gap between current capabilities and the future needs of large-scale digital information systems. Whether you are studying computer science or working with complex audio and text databases, this resource provides the technical foundation required for modern information retrieval challenges.

Key Features

Addresses the need for sophisticated search techniques in large digital data repositories and libraries.

Focuses on content-based information retrieval specifically for large text and audio databases.

Explores methods to find the most relevant data bits within massive multimedia datasets.

Part of the professional Springer International Series in Engineering and Computer Science.

Provides a technical foundation for managing the increasing amount of available multimedia data.

This is a used book provided in good condition.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 April 1997
Listed Since
15 February 2007

Barcode

No barcode data available

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