This paper documents the significant components of a state-ofthe-art language-independent query-by-example spoken term detection system designed for the Query by Example Search on Speech Task (QUESST) in MediaEval 2015. We developed exact and partial matching DTW systems, and WFST based symbolic search systems to handle different types of search queries. To handle the noisy and reverberant spee...

Musical databases are growing in number, size, and complexity, and they are becoming increasingly relevant for a broad range of academic as well as commercial applications. The features and performance of musical database systems critically depend on two factors: The nature and representation of the information stored in the database, and the search and retrieval mechanisms available to the use...

Key-finding is a central topic in Western music analysis and development of MIR tools. However, most approaches rely on the Western 12-tone scale, which is not universally used. African music does not follow a fixed tone scale. In order to classify and study African tone scales, we developed a system in which the pitch is first analyzed on a continuous scale. Peak analysis is then applied on th...

This paper briefly describes the systems presented by the Software Technologies Working Group (http://gtts.ehu.es, GTTS) of the University of the Basque Country (UPV/EHU) to the Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. The GTTS-EHU systems consist of four modules: (1) feature extraction; (2) speech activity detection; (3) DTW-based query matching; and (4) score calibra...

Current image retrieval systems ooer either an exploratory search method through browsing and navigation or a direct search method based on speciic queries. Combining both of these methods in a uniform framework allows users to formulate queries more naturally, since they are already acquainted with the contents of the database and with the notion of matching the machine would use to return res...

We propose a new approach for semantics-based image retrieval. We use color-texture classification to generate the codebook which is used to segment images into regions. The content of a region is characterized by its self-saliency and the lower-level features of the region, including color and texture. The context of regions in an image describes their relationships, which are related to their...

This paper describes the experiments and observations for Query-by-Example Search on Speech Task (QUESST) at MediaEval 2014. In this paper, we describe two different representations of speech that were explored for the task. We also show the capabilities and limitations of non-segmental dynamic time warping (NS-DTW) technique for searching various types of queries. This paper mainly focuses on ...

This paper proposes an approach for representing and querying semistructured Web data, which is based on nested tables allowing internal nested structural variations. Our motivation is to reduce the complexity found in typical query languages for semistructured data and to provide users with an alternative for quickly querying data obtained from multiple-record Web pages. We show the feasibilit...

Object-oriented data management is applied to a system called SCOPE, which supports various groupware applications. It is shown with examples that the object-oriented paradigm is useful for representing forms and procedures in a groupware environment. In order to make SCOPE open to other systems, a communication layer is introduced under the object-oriented layer. Open systems also require easy...

This paper describes the system developed at I.I.T. Bombay for Query-by-Example Search on Speech Task (QUESST) within the MediaEval 2015 evaluation framework. Our system preprocesses the data to remove noise and performs subsequence DTW on posterior/bottleneck features obtained using four phone recognition systems to detect the queries. Scores from each of these subsystems are fused to get the ...