Multimedia information retrieval: theory and techniques

Novel processing and searching tools for the management of new multimedia documents have developed. Multimedia Information Retrieval (MMIR) is an organic system made up of Text Retrieval (TR); Visual Retrieval (VR); Video Retrieval (VDR); and Audio Retrieval (AR) systems. So that each type of digital document may be analysed and searched by the elements of language appropriate to its nature, search criteria must be extended. Such an approach is known as the Content Based Information Retrieval (CBIR), and is the core of MMIR. This novel content-based concept of information handling needs to be integrated with more traditional semantics. Multimedia Information Retrieval focuses on the tools of processing and searching applicable to the content-based management of new multimedia documents. Translated from Italian by Giles Smith, the book is divided in to two parts. Part one discusses MMIR and related theories, and puts forward new methodologies; part two reviews various experimental and operating MMIR systems, and presents technical and practical conclusions. About the author: Roberto Raieli is a librarian in the Roma Tre University Art Library, Italy. Roberto has collaborated with both scientific and humanities libraries, and has been involved in studies on digital libraries and multimedia information, on which he has published. Roberto is on the editorial staff of Bollettino AIB, and is a member of groups dealing with electronic resources, virtual libraries, and open archives. Roberto has expertise in film direction, has directed various theatre plays, short films and been published on a wide range of subjects, founding and directing the Italian literary journal línfera. Roberto holds a degree in Philosophy, and a degree and PhD in Library and Information Science.