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J. Stephen Downie

Bio: J. Stephen Downie is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Music information retrieval & Digital library. The author has an hindex of 30, co-authored 164 publications receiving 4135 citations. Previous affiliations of J. Stephen Downie include University of Western Ontario & National Center for Supercomputing Applications.


Papers
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Proceedings ArticleDOI
11 Jun 2006
TL;DR: The implications of using digital library software in educational contexts, for both students and software developers, are discussed using two case studies of students building digital libraries.
Abstract: The implications of using digital library software in educational contexts, for both students and software developers, are discussed using two case studies of students building digital libraries.

8 citations

Proceedings ArticleDOI
19 Jun 2017
TL;DR: It is demonstrated that a combination of established models by Bates, Ellis, and Wilson can accommodate many aspects of information seeking in large-scale digital libraries at a broad, conceptual, level.
Abstract: Large-scale digital libraries such as the HathiTrust contain massive quantities of content combined from heterogeneous collections, with consequential challenges in providing mechanisms for discovery, unified access, and analysis. The HathiTrust Research Center has proposed 'worksets' as a solution for users to conduct their research into the 15 million volumes of HathiTrust content; however existing models of users' information-seeking behaviour, which might otherwise inform workset development, were established before digital library resources existed at such a scale. We examine whether these information-seeking models can sufficiently articulate the emergent user activities of scholarly investigation as perceived during the creation of worksets. We demonstrate that a combination of established models by Bates, Ellis, and Wilson can accommodate many aspects of information seeking in large-scale digital libraries at a broad, conceptual, level. We go on to identify the supplemental information-seeking strategies necessary to specifically describe several workset creation exemplars. Finally, we propose complementary additions to the existing models: we classify strategies as instances of querying, browsing, and contribution. Similarly we introduce a notion of scope according to the interaction of a strategy with content, content-derived metadata, or contextual metadata. Considering the scope and modality of new and existing strategies within the composite model allows us to better express--and so aid our understanding of--information-seeking behaviour within large-scale digital libraries.

8 citations

Proceedings Article
01 Dec 2007
TL;DR: The Do-It-Yourself (DIY) web service of the MIREX DIY web service represents a means by which researchers can remotely submit, execute, and evaluate their Music Information Retrieval algorithms against standardized datasets that are not otherwise freely distributable.
Abstract: The Do-It-Yourself (DIY) web service of the Music Information Retrieval Evaluation eXchange (MIREX) represents a means by which researchers can remotely submit, execute, and evaluate their Music Information Retrieval (MIR) algorithms against standardized datasets that are not otherwise freely distributable. Since its inception in 2005 at the International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL), MIREX has, to date, required heavy interaction by IMIRSEL team members in the execution, debugging, and validation of submitted code. The goal of the MIREX DIY web service is to put such responsibilities squarely into the hands of submitters, and also enable the evaluations of algorithms yearround, as opposed to annual exchanges.

8 citations

Journal ArticleDOI
TL;DR: This work proposes audio-based music indexing techniques, ELSM and Soft Locality Sensitive Hash (SoftLSH) using an optimized Feature Union (FU) set of extracted audio features and proves that the algorithms are effective for both multi-version detection and same content detection.
Abstract: Research on audio-based music retrieval has primarily concentrated on refining audio features to improve search quality. However, much less work has been done on improving the time efficiency of music audio searches. Representing music audio documents in an indexable format provides a mechanism for achieving efficiency. To address this issue, in this work Exact Locality Sensitive Mapping (ELSM) is suggested to join the concatenated feature sets and soft hash values. On this basis we propose audio-based music indexing techniques, ELSM and Soft Locality Sensitive Hash (SoftLSH) using an optimized Feature Union (FU) set of extracted audio features. Two contributions are made here. First, the principle of similarity-invariance is applied in summarizing audio feature sequences and utilized in training semantic audio representations based on regression. Second, soft hash values are pre-calculated to help locate the searching range more accurately and improve collision probability among features similar to each other. Our algorithms are implemented in a demonstration system to show how to retrieve and evaluate multi-version audio documents. Experimental evaluation over a real "multi-version" audio dataset confirms the practicality of ELSM and SoftLSH with FU and proves that our algorithms are effective for both multi-version detection (online query, one-query vs. multi-object) and same content detection (batch queries, multi-queries vs. one-object).

8 citations


Cited by
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Journal ArticleDOI
TL;DR: This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.
Abstract: 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 100p recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques. Based on the current state of the art, we discuss the major challenges for the future.

1,652 citations

Book
19 Apr 2012
TL;DR: In this paper, the authors introduce concepts relevant to Information Behavior Models, Paradigms, and Theories in the study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections.
Abstract: Abbreviated Contents Figures and Tables Preface Introduction and Examples Concepts Relevant to Information Behavior Models, Paradigms, and Theories in the Study of Information Behavior Methods for Studying Information Behavior Research Results and Reflections Appendix: Glossary Appendix: Questions for Discussion and Application References Index

1,347 citations

Book
01 Jan 1972
TL;DR: Invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages as discussed by the authors The advantages are not only for you, but for the other peoples with those meaningful benefits.
Abstract: No wonder you activities are, reading will be always needed. It is not only to fulfil the duties that you need to finish in deadline time. Reading will encourage your mind and thoughts. Of course, reading will greatly develop your experiences about everything. Reading invisible colleges diffusion of knowledge in scientific communities is also a way as one of the collective books that gives many advantages. The advantages are not only for you, but for the other peoples with those meaningful benefits.

1,262 citations

Book
14 Apr 2006
TL;DR: A theory of expectation is used to explain how music evokes various emotions for readers interested in cognitive science and evolutionary psychology as well as music as mentioned in this paper, which can be found in the book "Sweet Anticipation".
Abstract: A theory of expectations is used to explain how music evokes various emotions for readers interested in cognitive science and evolutionary psychology as well as music. The psychological theory of expectation that David Huron proposes in "Sweet Anticipation" grew out of experimental efforts to understand how music evokes emotions. These efforts evolved into a general theory of expectation that will prove informative to readers interested in cognitive science and evolutionary psychology as well as those interested in music. The book describes a set of psychological mechanisms and illustrates how these mechanisms work in the case of music. All examples of notated music can be heard on the Web. Huron proposes that emotions evoked by expectation involve five functionally distinct response systems: reactive responses (which engage defensive reflexes); tension responses (where uncertainty leads to stress); predictive responses (which reward accurate prediction); imaginative responses (which facilitate deferred gratification); and appraisal responses (which occur after conscious thought is engaged). For real-world events, these five response systems typically produce a complex mixture of feelings. The book identifies some of the aesthetic possibilities afforded by expectation, and shows how common musical devices (such as syncopation, cadence, meter, tonality, and climax) exploit the psychological opportunities. The theory also provides new insights into the physiological psychology of awe, laughter, and "spine-tingling chills." Huron traces the psychology of expectations from the patterns of the physical/cultural world through imperfectly learned heuristics used to predict that world to the phenomenal qualia experienced by those who apprehend the world.

1,158 citations