Schäuble P. Multimedia Information Retrieval. Content-Based Information Retrieval from Large Text and Audio Databases

Springer, 1997. — 196 p.In the near future, numerous digital libraries and other large multimedia databases will be commonly available. Sophisticated search techniques will be required to find relevant information in these large digital data repositories. Because of the dramatically increasing amount of multimedia data that is made available to everybody, there is a growing need for new search techniques that provide not only fewer bits but also the right bits to users.
This monograph is aimed at bridging the gap between classic ranking of text documents (usually bi bliogr aphic references) and modern Information Retrieval where composite multimedia documents are searched for relevant information. In particular, we want to pave the way for speech retrieval. The search for information in speech recordings entered very recently the state where it became feasible. Information Retrieval researchers as well as database researchers usually do not have the necessary background in speech recognition. We therefore include an introductory chapter on speech recognition for those Information Retrieval persons who want to learn about speech recognition to understand the various speech retrieval approaches.Probabilistic Retrieval
Text Retrieval
Automatic Speech Recognition
Speech Retrieval
Case Study: Retrieving Scanned Library Cards
Integrating Information Retrieval and Database Functions
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