TY  - CONF
T1  - Comparative Analysis of Orchestral Performance Recordings: An Image-Based Approach
T2  - 16th International Society for Music Information Retrieval Conference
Y1  - 2015
A1  - Cynthia C. S. Liem
A1  - Alan Hanjalic
JF  - 16th International Society for Music Information Retrieval Conference
CY  - Málaga, Spain
ER  - 

TY  - CONF
T1  - Innovating the Classical Music Experience in the PHENICX Project: Use Cases and Initial User Feedback
T2  - 1st International Workshop on Interactive Content Consumption (WSICC) at EuroITV 2013
Y1  - 2013
A1  - Cynthia C. S. Liem
A1  - Ron van der Sterren
A1  - Marcel van Tilburg
A1  - Álvaro Sarasúa
A1  - Juan J. Bosch
A1  - Jordi Janer
A1  - Mark S. Melenhorst
A1  - Emilia Gómez
A1  - Alan Hanjalic
KW  - interactivity
KW  - multimedia information systems
KW  - multimodality
KW  - music information retrieval
KW  - performing arts
KW  - social networks
KW  - user studies
AB  - <p>The FP7 PHENICX project focuses on creating a new digital classical concert experience, improving the accessibility of classical music concert performances by enhancing and enriching them in novel digital ways, In this paper, we present the project’s foreseen use cases. Subsequently, we summarize initial use case feedback from two different user groups. Despite the early stage of the project, the feedback already gives important insight into real-world considerations to make for interactive music content consumption solutions.</p>
JF  - 1st International Workshop on Interactive Content Consumption (WSICC) at EuroITV 2013
CY  - Como, Italy
ER  - 

TY  - Generic
T1  - Looking Beyond Sound: Unsupervised Analysis of Musician Videos
T2  - 14th International Workshop on Image and Audio Analysis for Multimedia Interactive services (WIA2MIS)
Y1  - 2013
A1  - Cynthia C. S. Liem
A1  - Alessio Bazzica
A1  - Alan Hanjalic
AB  - <div>  	In this work, we focus on visual information conveyed by performing musicians. While musicians are playing, their movement relates to their musical performance. As such, analysis of this information can support structural characterization and timeline indexing of a recorded performance, especially in cases when such analyses are not trivially computed from the musical audio. We propose an unsupervised visual analysis method, in which visual novelty is inferred from motion orientation histograms of regions of interest. Considering our method in a case study on audiovisually recorded jam sessions, we show that our analysis of the visual channel yields promising and meaningful performance-related information, including information complementary to the audio channel.</div>
JF  - 14th International Workshop on Image and Audio Analysis for Multimedia Interactive services (WIA2MIS)
PB  - IEEE
CY  - Paris, France
ER  -