This paper describes Musicream, a novel music-listening interface that lets a user unexpectedly come across various musical pieces similar to those liked by the user. Most existing “query-by-example” interfaces are based on similaritybased searching, so they return the same results for the same query, meaning that a user of those systems always receives the same list of musical pieces sorted by...

In this article, a heuristic version of Multidimensional Scaling (MDS) named , like MDS, maps objects into an Euclidean space, such that similarities are preserved. In addition of being more efficient than MDS it allows query-by-example type of query, which makes it suitable for a content-based retrieval purposes.

In this paper we present a method for the end-user specification of consistency rules for Web documents. Temporal description logic is used as the internal formalism. It is difficult for an author of a Web document to understand and use a formal logic. Therefore the goal is to develop an intuitive front-end allowing the authors of a document to specify their requirements and constraints at an a...

This paper describes an algorithm to measure the similarity of two multimedia objects, such as songs or movies, using users’ preferences. Much of the previous work on query-by-example (QBE) or music similarity uses detailed analysis of the object’s content. This is difficult and it is often impossible to capture how consumers react to the music. We argue that a large collection of user’s prefer...

The huge amount of available spoken documents has raised the need for tools to perform automatic searches within large audio databases. These collections usually consist of documents with a great variability regarding speaker, language or recording channel, among others. Reducing this variability would boost the performance of query-by-example search on speech systems, especially in zero-resour...

We pose the content-based retrieval problem as a problem of statistical inference and develop a Bayesian framework for indexing and retrieval in the context of large multimedia databases. All the indexing is carried out in the compressed domain and leads to eecient retrieval without compromise of the compression eeciency. The framework allows the integration of information from diierent sources...

To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documents. As a result, documents are ordered in a list by decreasing correspondance to the request. Several comparison measures are used in the field and it is difficult to choose one or another. In this paper, we show that they can ...