Content Visualization in a Digital Music Library Eric J. Isaacson Assoc. Prof. of Music Theory Indiana University School of Music This material is based.

Slides:



Advertisements
Similar presentations
ESDS Qualidata Libby Bishop, ESDS Qualidata Economic and Social Data Service UK Data Archive ESDS Awareness Day Friday 5 December 2003Royal Statistical.
Advertisements

A Blended Curriculum for Bermuda Public Primary Schools
TAILS: COBWEB 1 [1] Online Digital Learning Environment for Conceptual Clustering This material is based upon work supported by the National Science Foundation.
Chapter 3: Understanding users. What goes on in the mind?
© 2008 Verizon. All Rights Reserved. PTEXXXXX XX/08 GLOBAL CAPABILITY. PERSONAL ACCOUNTABILITY. Customized Net Conference New Features in Microsoft Office.
SMART Table 442i Collaborative Learning Center Training & Content Development Sherri Desseau
Mission Geography Introduction to the National Geography Standards Geography for Life.
1 Content-Based Retrieval (CBR) -in multimedia systems Presented by: Chao Cai Date: March 28, 2006 C SC 561.
Chapter 11 Beyond Bag of Words. Question Answering n Providing answers instead of ranked lists of documents n Older QA systems generated answers n Current.
Visualizating the Non-Visual: Spatial Analysis and Interaction with Information from Text Documents J.A. Wise, J.J. Thomas, K. Pennock, D. Lantrip, M.
Internet Resources Discovery (IRD) IBM DB2 Digital Library Thanks to Zvika Michnik and Avital Greenberg.
GEOGRAPHIC INFORMATION SYSTEM GIS are tools that allow for the processing of spatial data into information, generally information tied explicitly to, and.
3.2 Presentation Software End Show Creating slide shows including audio,video and digital images End Show.
WEB DESIGNING Prof. Jesse A. Role Ph. D TM UEAB 2010.
Microsoft ® Expression ® Web An Introduction to the Your Learning Guide to Expression Web tutorial.
Information Retrieval in Practice
Dreamweaver Domain 3 KellerAdobe CS5 ACA Certification Prep Flash Domain 2 KellerAdobe CS5 ACA Certification Prep Flash Domain 2: Identifying Rich Media.
Inspiration - Getting Started Anastasia Trekles Milligan Clinical Asst. Professor Purdue University Calumet
Digital Sound and Video Chapter 10, Exploring the Digital Domain.
Open Source Software Sustainability: A Case Study of Indiana University's Variations Software Jon W. Dunn, Phil Ponella, and Robert H. McDonald Indiana.
Document (Text) Visualization Mao Lin Huang. Paper Outline Introduction Visualizing text Visualization transformations: from text to pictures Examples.
Exploiting Musical Connections: A Proposal for Support of Work Relationships in a Digital Music Library Jenn Riley Metadata Librarian Indiana University.
Applications of Digital Archival Geographic Information in K12 Education Department of Geography, National Taiwan University jinn-Guey Lay 2009PNC 2009/10/08.
The World of Computers Julia Akins. Computer Graphics Computer graphics is a sub-field of computer science and is concerned with digitally manipulating.
SmartGraphs CyTSE Conference – March 8, 2011 This material is based upon work supported by the National Science Foundation under Grant No. DRL ==≠≠
HANA HARRISON CSE 435 NOVEMBER 19, 2012 Music Composition.
Contactforum: Digitale bibliotheken voor muziek. 3/6/2005 Real music libraries in the virtual future: for an integrated view of music and music information.
MusicXML David Sears MUMT September, 2009.
August 12, 2004IAML - IASA 2004 Congress, Olso1 Music Information Retrieval, or how to search for (and maybe find) music and do away with incipits Michael.
Chapter 11 Adding Sound and Video. Chapter 11 Lessons 1.Work with sound 2.Specify synchronization options 3.Modify sounds 4.Use ActionScript with sound.
Technology in Art & Music Education Created by: Erica Cupp, Desiree Dizon, Heather Smith & Tasha Smith.
Text linking in the humanities: citing canonical works using OpenURL CNI Spring 2009 Task Force Meeting Eric Rebillard Departments of Classics and History.
Multimedia Software Tools. 3-D Modeling and Animation Tools 3-D modeling gives images a 3-dimensional look. It can be used along with animation, for instance,
Aspects of Music Information Retrieval Will Meurer School of Information University of Texas.
HDF Converting between HDF4 and HDF5 MuQun Yang, Robert E. McGrath, Mike Folk National Center for Supercomputing Applications University of Illinois,
Introduction to ArcGIS for Environmental Scientists Module 1 – Data Visualization Chapter 4 - Layouts.
1 Mpeg-4 Overview Gerhard Roth. 2 Overview Much more general than all previous mpegs –standard finished in the last two years standardized ways to support:
Black Box Software Testing Copyright © 2003 Cem Kaner & James Bach 1 Black Box Software Testing Spring 2005 PART 7 -- FUNCTION TESTING by Cem Kaner, J.D.,
Library Repositories and the Documentation of Rights Leslie Johnston, University of Virginia Library NISO Workshop on Rights Expression May 19, 2005.
Being Smart with Graphs This material is based upon work supported by the National Science Foundation under Grant No. DRL ==≠≠ == Any opinions,
Computer Aided Design By Brian Nettleton This material is based upon work supported by the National Science Foundation under Grant No Any opinions,
What is musical information? Music 253/CS 275A Topic 1A Stanford University.
- 1 - HDF5, HDF-EOS and Geospatial Data Archives HDF and HDF-EOS Workshop VII September 24, 2003.
This material is based upon work supported by the National Science Foundation under Grant No. ANT Any opinions, findings, and conclusions or recommendations.
Variations2: The IU Digital Music Library Project Jon Dunn Assistant Director for Technology IU Digital Library Program IU Forum on Digital Libraries April.
Local content in a Europeana cloud Kate Fernie, 2Culture Associates, Project Manager LoCloud is funded by the European Commission's ICT Policy Support.
Alan Kinder CGeog Chartered Geographer online CPD Google Maps Getting started with GIS – for free.
Unit A Getting Started with Adobe Photoshop. What is Adobe Photoshop? Adobe Photoshop delivers powerful, industry-standard image-editing tools for designers.
Reading Flash. Training target: Read the following reading materials and use the reading skills mentioned in the passages above. You may also choose some.
Accessibility of math educational materials for visually impaired people Piotr Brzoza Krzysztof Dobosz.
HDF and HDF-EOS Workshop VII September 24, 2003 HDF5, HDF-EOS and Geospatial Data Archives Don Keefer Illinois State Geological Survey Mike Folk Univ.
Ask a Librarian: The Role of Librarians in the Music Information Retrieval Community Jenn Riley, Indiana University Constance A. Mayer, University of Maryland.
Appendix A Becoming an Adobe Certified Associate.
Sound Model: Collaborative Infrastructure for digital audio SAA--Perfecting your pitch Liz Bishoff, Director BCR Digital & Preservation Services August.
Soon Joo Hyun Database Systems Research and Development Lab. US-KOREA Joint Workshop on Digital Library t Introduction ICU Information and Communication.
DATA OUTPUT  maps  tables. DATA OUTPUT output from GIS does not have to be a map many GIS are designed with poor map output capabilities types of output:
Helps to reduce the social disparities between students Teachers can plan their lessons more efficiently ICT also help teachers to work in teams and.
Oceanobservatories.org Funding for the Ocean Observatories Initiative is provided by the National Science Foundation through a Cooperative Agreement with.
© 2008 Verizon. All Rights Reserved. PTEXXXXX XX/08 GLOBAL CAPABILITY. PERSONAL ACCOUNTABILITY. Reserved Net Conference New Features in Microsoft Office.
Literacy, Technology and Learning
Discussion and Conclusion
Customized Net Conference
Title of session For Event Plus Presenters 12/5/2018.
IIIF AV Player Andrew Kam.
Introduction to Visual Analytics
Multimedia (CoSc4151) Chapter One : Introduction to Multimedia
ECE 791 Project Proposal Project Title: Developing and Evaluating a Tool for Converting MP3 Audio Files to Staff Music Project Team: Salvatore DeVito.
Customized Net Conference
This material is based upon work supported by the National Science Foundation under Grant #XXXXXX. Any opinions, findings, and conclusions or recommendations.
Presentation transcript:

Content Visualization in a Digital Music Library Eric J. Isaacson Assoc. Prof. of Music Theory Indiana University School of Music This material is based upon work supported by the National Science Foundation under Grant No Any opinions, findings, and conclusions or recommendations expressed in this material are those of the presenters and do not necessarily reflect the views of the National Science Foundation. 3rd International Workshop on Information Visualization Interfaces for Retrieval and Analysis (IVIRA), 31 May 2003 (Houston)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 2 Importance of Vis. in Music  “Freezes” otherwise ephemeral content by mapping temporal onto a spatial domain  Supports recall, reproduction  Can depict structures/features  Hidden and surface  Large and small scale  Hierarchies  Enables communication

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 3 Quick History of Western Notation  Origins are >1000 years old (heightened neumes)  Began as memory aid  Rhythmic notation develops ca  “Modern” music notation reaches present form ca. 1600

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 4 Notation as Visualization  Useful for random access  Provides concise guide for how music sounds  Trained musicians can read “structural” features in notation (but only indirectly)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 5 Variations2: Indiana Univ. Digital Music Library  Content  Digital Audio/Video  Scanned score images  Symbolically encoded score files  Software for  Enhanced search for music  Player/viewers for (synchronized) playback  Notation display, editing  Library cataloging  Learning, study, teaching

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 6 Potential Visual Search

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 7 Content Vis. in Variations2  Primary focus is on user-created, user- manipulated techniques  Driven by curriculum, discipline

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 8 Visualization in Variation2  Stage 1: Score images  Bookmarks add minimal visualization

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 9 Visualization in Variations2  Stage 2: Timeliner  Diagrams large-scale structure  Initially tied to recording only

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 10 Visualization in Variations2  Stage3: Annotation tools  Drawing, text, smart-labels  Designed for showing

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 11 Visualization in Variations2  Stage 4: Encoded scores  Display of selected parts  Color  Annotation  Analytic notation

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 12 Other Views (Audio)  Spectrograms (auto)  Self-similarity graphs (auto, with parameters)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 13 Other Views (Symbolic)  Lerdahl & Jackendoff tree diagrams (user)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 14 Other Views  Line graphs  Pitches in Bartók, Music for Strings, Perc. and Celeste, I (Brinkman & Mesiti 1991)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 15 Other Views  Harmonic regions (“keyscape”) in Bach, C Major Prelude (Craig Sapp)

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 16 Other Views  Timelines, “pattern repetition” 

IVIRA 2003Isaacson, Content Visualization in a Digital Music Library 17