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An interdisciplinary approach to alternative representations for images

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An interdisciplinary approach to alternative representations for images

  1. 1. An interdisciplinary approach toalternative representations for images Bruno Splendiani, Mireia Ribera, Roberto García, Marina Salse ICCHP Conference 2012 – ULD track
  2. 2. Overview• Introduction• Proposal• Scenario• Conclusions Bruno Splendiani (2012) 2
  3. 3. Introduction (1) Basic Recommendation in Accessibility “Provide text alternatives for any non-text content” [Source: WCAG 2.0] ButAccessibility guidelines only offer general recommendationsNo standards defining:• the analysis and creation of visual content □ Relevant exceptions• the process of image description in publishing workflow □ Relevant exception Bruno Splendiani (2012) 3
  4. 4. Introduction(2) So, we have to offer a text alternative, but HOW?• How to improve the accessibility to visual content and the retrieval of images?• How to make easier the creation of alternative representations?• How to adapt visual information to specific contexts of use? Bruno Splendiani (2012) 4
  5. 5. Proposal Interdisciplinary approach Accessibility Information Visualization (InfoVis) Library and Information Science (LIS) Semantic Web Computer VisionHow can the cross-fertilization of these disciplines help usto improve accessibility and retrieval of images? Let’s see an example! Bruno Splendiani (2012) 5
  6. 6. Scenario /Biomedical image We have an image A digital, visual representation that convey data and information with the intention “to describe, explain, inform or instruct” [Source: Engelhardt] Biomedical image“Magnetic resonance imaging of a brain with a probable case of white epidermoid cyst” Bruno Splendiani (2012) 6
  7. 7. Scenario /Life cycle (1) The image in a life cycleCreated by an authorManaged, manipulated and archivedby an information specialistUsed in a scientific publicationaccording to a publisherAccessed and searchedby an end-user Bruno Splendiani (2012) 7
  8. 8. Scenario / Life cycle (2) In the “image lifecycle” many actors are involved in different steps of the process, with different roles, specific information needs and contexts of use.In every step a different discipline could contribute tothe improvement of the image description and retrieval Bruno Splendiani (2012) 8
  9. 9. Scenario / Step 1 From data to visual representationDisciplines involved• LIS : Embedded metadata i.e. DICOM headers: modality type, equipment number, acquisition parameters, image resolution…. Bruno Splendiani (2012) 9
  10. 10. Scenario / Step 2 Image Manipulation• Computer Vision: object recognition Bruno Splendiani (2012) 10
  11. 11. Scenario / Step 3 Image Management• LIS: controlled vocabularies: UMLS, Mesh, ICD9…• InfoVis: visual variables and rules of construction• Semantic Web: Ontologies i.e.: Bioontology /DBPediaBrain Metadata schemas: i.e.: Schema.orgBrain Structure Bruno Splendiani (2012) 11
  12. 12. Scenario / Step 4 From management to publication• LIS: techniques to associate metadata to the image• Semantic Web: models of relation to different parts of the article• Accessibility: demands requirements, offers specific techniques to include alternative information (i.e. alt-text, longdesc, etc.) Bruno Splendiani (2012) 12
  13. 13. Scenario / Step 5 Access to publication by end-user• Information Retrieval (LIS and Semantic Web)• Accessibility: allow multimodal access by assistive technologies• InfoVis: adaptation of the image in different contexts of access Bruno Splendiani (2012) 13
  14. 14. Scenario / Process The “image life cycle” 14
  15. 15. Scenario / Example Bruno Splendiani (2012) 15
  16. 16. Conclusions The interdisciplinary approach could improveaccess to images for peoplewith disabilitiesimage’s retrievaladaptation to differentcontexts of use Bruno Splendiani (2012) 16
  17. 17. Thanks! Any questions? Bruno Splendianisplendiani@ub.edu Bruno Splendiani (2012) 17

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