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An Interactive System For Electro-Acoustic Music Analysis

Sébastien Gulluni, Slim Essid, Olivier Buisson, Gaël Richard
2011 Zenodo  
In previous works, relevance feedback has been widely used in content-based image retrieval tasks (see [4] for an overview).  ...  We compare different classification and relevance feedback approaches for different degrees of polyphonic complexity.  ... 
doi:10.5281/zenodo.1416134 fatcat:zknpnnsxfvfapat7htjrdw72ja

Feedback-driven interactive exploration of large multidimensional data supported by visual classifier

Michael Behrisch, Fatih Korkmaz, Lin Shao, Tobias Schreck
2014 2014 IEEE Conference on Visual Analytics Science and Technology (VAST)  
We introduce a framework for a feedback-driven view exploration, inspired by relevance feedback approaches used in Information Retrieval.  ...  We present an instantiation of our framework for exploration of Scatter Plot Spaces based on visual features.  ...  While previous approaches centered around establishing effective overview abstractions to guide the user to interesting views, the focus is shifting to an automated calculation of interestingness.  ... 
doi:10.1109/vast.2014.7042480 dblp:conf/ieeevast/BehrischKSS14 fatcat:wbwwazsjzrbyva4guov3gxjjji

JUXTAPOSING VISUAL LAYOUTS – AN APPROACH FOR SOLVING ANALYTICAL AND EXPLORATORY TASKS THROUGH ARRANGING VISUAL INTERFACES

Kawa Nazemi, Dirk Burkhardt
2018 Zenodo  
Our approach should be seen as an expandable method.  ...  Our main contributions are an in-depth analysis of visual task models and an approach for juxtaposing visual layouts as visual interfaces to enable solving complex tasks.  ...  The proposed approach relates the classifications of user goals and tasks with the abilities and goals of interactive visualization in a "mutual feedback".  ... 
doi:10.5281/zenodo.2542951 fatcat:4ebmznnxjzbnnp56ad3y6zfgfm

Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning [article]

Christoph Stanik, Marlo Haering, Walid Maalej
2019 arXiv   pre-print
Since the manual analysis of user feedback is cumbersome and hard to manage many researchers and tool vendors suggested to use automated analyses based on traditional supervised machine learning approaches  ...  Popular software vendors get user feedback thousandfold per day.  ...  Field of Application Classifying user feedback is an ongoing field in research because of the high amount of feedback companies receive daily.  ... 
arXiv:1909.05504v1 fatcat:ig7drjbrcfecbmo7cztqlyh7ay

Adaptive music retrieval–a state of the art

Sebastian Stober, Andreas Nürnberger
2012 Multimedia tools and applications  
With the development of more and more sophisticated Music Information Retrieval (MIR) approaches, aspects of adaptivity are becoming an increasingly important research topic.  ...  To this end, different approaches from a wide range of application areas that share the common aspect of adaptivity are identified and systematically categorized.  ...  Especially, the authors would like to thank the International Society for Music Information Retrieval (ISMIR) for promoting the idea of open access and especially the people maintaining the cumulative  ... 
doi:10.1007/s11042-012-1042-z fatcat:v4rjk3u63zgg7jbgxydi635ug4

MUSCLE: Music Classification Engine with User Feedback [chapter]

Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Florian Vorberger
2006 Lecture Notes in Computer Science  
While there exist approaches in the field of musical genre classification, none of them features a hierarchical classification in combination with interactive user feedback and a flexible multiple assignment  ...  Yet the user would benefit from a more intuitive organization based on music style to get an overview of the music collection. We have developed a novel tool called MUSCLE which fills this gap.  ...  An approach for hierarchical genre classification which does not support user feedback is presented in [1] .  ... 
doi:10.1007/11687238_83 fatcat:maxq5p76rjat7hvbsonugbflji

EpistAid: Interactive Interface for Document Filtering in Evidence-based Health Care [article]

Ivania Donoso, Denis Parra
2016 arXiv   pre-print
In this context, Epistemonikos (www.epistemonikos.org) is one of the first and most important online systems in the field, providing an interface that supports users on searching and filtering scientific  ...  Evidence-based health care (EBHC) is an important practice of medicine which attempts to provide systematic scientific evidence to answer clinical questions.  ...  Its purpose is to provide an overview of the document set associated with the current evidence matrix M i , and to let the user explore the content based on proximity among documents.  ... 
arXiv:1611.02119v1 fatcat:n2xkrwkesfeftmiye5uxsejdai

Two Decades of Touchable and Walkable Virtual Reality for Blind and Visually Impaired People: A High-Level Taxonomy

Julian Kreimeier, Timo Götzelmann
2020 Multimodal Technologies and Interaction  
To give readers a complete, clear and concise overview of current and past publications on touchable and walkable audio supplemented VR applications for blind and visually impaired users, this survey paper  ...  Our comprehensive table shows that especially grounded force feedback devices for haptic feedback ('small scale') were strongly researched in different applications scenarios and mainly from an exocentric  ...  In terms of haptic feedback, the survey papers from Pachierotti et al. [14] and Seifi et al. [15] provide an comprehensive overview regarding haptic rendering devices.  ... 
doi:10.3390/mti4040079 fatcat:f6757tnlcjbazmc7cf2peetfry

A Public Barrier Tracker to Support the Web Accessibility Directive [chapter]

Diane Alarcon, Kim Andreasson, Justyna Mucha, Annika Nietzio, Agata Sawicka, Mikael Snaprud
2018 Lecture Notes in Computer Science  
We give an overview of some existing approaches for gathering user feedback on accessibility barriers and outline the PBT functionality.  ...  In this paper we propose the Public Barrier Tracker (PBT)a comprehensive solution that supports both filing and handling of user feedback on web accessibility.  ...  Gathering User Feedback About Accessibility Issues: Overview of Existing Approaches The most common way of gathering user feedback is through an open comment form where users can send their remarks to  ... 
doi:10.1007/978-3-319-94277-3_4 fatcat:qzbgw2ez5jambd63esrpb64hqu

Augmenting the Senses: A Review on Sensor-Based Learning Support

Jan Schneider, Dirk Börner, Peter van Rosmalen, Marcus Specht
2015 Sensors  
, paying special attention to their use as feedback tools.  ...  In this article we review the use of sensors for the application domain of learning. For that we analyzed 82 sensor-based prototypes exploring their learning support.  ...  An overview of these prototypes is found in Appendix B.  ... 
doi:10.3390/s150204097 pmid:25679313 pmcid:PMC4367401 fatcat:mzps3bkhlbesdju7akgkn7znmy

Finding a Semantic Structure Interactively in Image Databases

Manjeet Rege, Ming Dong, Farshad Fotouhi
2006 2006 IEEE International Conference on Multimedia and Expo  
We present a new approach to organize an image database by finding a semantic structure interactively based on multi-user relevance feedback.  ...  Experiments performed on an image database consisting of general purpose images demonstrate that our system outperforms some of the other conventional methods.  ...  Consequently, the combination makes sense as long as the users agree in their definition of an image category at least 50% of the time. The architectural overview of our system is shown in Figure 1.  ... 
doi:10.1109/icme.2006.262555 dblp:conf/icmcs/RegeDF06 fatcat:idnfg4ubfng4vmcmueox4igflu

PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback [article]

Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch
2021 arXiv   pre-print
This performance gain allows for a rapid relevance feedback-driven adaption of the underlying pattern similarity model and enables the user to modify the speed-vs-accuracy trade-off gradually.  ...  We find that our adaptive models can accurately capture the user's notion of similarity and allow for an understandable exploratory visual pattern retrieval in large multivariate time series datasets.  ...  Firstly, our system offers an adaptive, as opposed to static one-shot classification, making it a user-centric Visual Analytics approach.  ... 
arXiv:2104.14962v2 fatcat:iond6hwltnhi3mvpuygnxzlhau

Mobile Phone-Enabled Museum Guidance with Adaptive Classification

Erich Bruns, Benjamin Brombach, Oliver Bimber
2008 IEEE Computer Graphics and Applications  
We present an adaptive museum guidance system called PhoneGuide.  ...  Overview of adaptive classification infrastructure: During application, each phone collects environmental parameters and user feedback, sensor and phone-to-phone interfaces.  ...  They will not scale well with an increasing number of users and simultaneous classification requests.  ... 
doi:10.1109/mcg.2008.77 fatcat:l3x43zpmr5afxnovqtr42gnf2y

NERD: Neural Network for Edict of Risky Data Streams [article]

Sandro Passarelli, Cem Gündogan, Lars Stiemert, Matthias Schopp, Peter Hillmann
2020 arXiv   pre-print
Cyber incidents can have a wide range of cause from a simple connection loss to an insistent attack.  ...  Feedback from users regarding the problem solutions are included into future decision-making by using labelled flow data as input for the learning process.  ...  These suggested solutions are intended to provide an overview of detailed and adequate measures that the user can take to counteract an attack and to recover. • Feedback embedding: The ability to evaluate  ... 
arXiv:2007.07753v1 fatcat:c7ai2p73czb6dcqrzad4ldxoaa

Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management

Stavroula Mougiakakou, Giovanni Maria Farinella, Keiji Yanai
2016 Proceedings of the 2016 ACM on Multimedia Conference - MM '16  
This abstract provides a summary and overview of the 2 nd international workshop on multimedia assisted dietary management.  ...  food intake, identify eating patterns and provide feedback to the user towards healthier nutrition.  ...  In "Performance Evaluation Methods of Computer Vision Systems for Meal Assessment" Anthimopoulos et al. present an overview of the datasets and protocols used for evaluating the computer vision stages  ... 
doi:10.1145/2964284.2980535 dblp:conf/mm/MougiakakouFY16 fatcat:n2ykwgsldbgb3jtknnavmnd5iq
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