Extending beyond the boundaries of science, art, and culture, content-based multimedia information retrieval provides new paradigms and methods for searching through the myriad variety of media all over the world. This survey reviews 100+ recent articles on content-based multimedia information

�Deals with the representation, storage and retrieval of unstructured data �Topics of interest: systems, languages, retrieval, user interfaces, data visualization, distributed data sets �Classical IR deals mainly with text �The evolution of multimedia databases and of the web have given new

We describe the Informedia tm News-on-Demand system. News-on-Demand is an innovative example of indexing and searching broadcast video and audio material by text content. The fully-automatic system monitors TV news and allows selective retrieval of news items based on spoken queries. The user

Abstract. Research on multimedia information retrieval (MIR) has recently witnessed a booming interest. A prominent feature of this research trend is its simultaneous but independent materialization within several fields of computer science. The resulting richness of paradigms, methods and systems

In this paper, we provide a brief survey of the multimedia information retrieval domain as well as introduce some ideas investigated in the special issue. We hope that the contributions of this issue provide motivation for readers to deal with the current challenges and problems. Such contributions

This paper describes various methods and approaches for language-based multimedia information retrieval, which have been developed in the projects POP-EYE and OLIVE and which will be developed further in the MUMIS project. All of these project aim at supporting automated indexing of video material

this document component may not correspond to a standard structural unit. In this case we consider that it is sufficient here to know the target's embedding structural component; the visualization of the target is then processed separately. Said in other words, anchors and targets may correspond to units that are sub-atomic compared to the standard logical structure, and we consider that a visualization process is able to present these units to the user when displaying their embedding structural component.

In retrieval, indexing and classification of multimedia data an efficient information fusion of the different modalities is essential for the system’s overall performance. Since information fusion, its influence factors and performance improvement boundaries have been lively discussed in the last

This paper describes the design, implementation and evaluation of Parallel Multimedia Information Retrieval systems. PAMIR is implemented on a network of Pentium PC based workstations to exploit the I/O and computation parallelism in both insertion and processing phase of complex similarity

target application areas, such as consumer (e.g. personal video recorders, web information retrieval), public safety (e.g. automated smart surveillance systems) and professional world (e.g. automated meeting capture and summarization). In particular, recommendations will be made to the research community