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Analysing Creative Image Queries To Determine Important Facets

Analysing Creative Image Queries To Determine Important Facets. Andrew MacFarlane City University London (On Behalf of the PhotoBrief Project). Agenda. Motivation Data Collection Analysis of Search Engine Facets Analysis of Facets in Briefs Image Search vs Brief Facets Conclusion

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Analysing Creative Image Queries To Determine Important Facets

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  1. Analysing Creative Image Queries To Determine Important Facets Andrew MacFarlane City University London (On Behalf of the PhotoBrief Project)

  2. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  3. Motivation

  4. Motivation

  5. Motivation

  6. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  7. Data Collection • Contextual Interviews • 13 (10 consumers, 3 producers) – Piclet project • Understand Search Behaviour; identify systems • Commercial Search System Analysis • 5 most popular: SE, stock image, photo-sharing • Search facets used • Brief Analysis • Expresses need for image in creative industries

  8. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  9. Analysis of Search Engine Facets

  10. Analysis of Search Engine Facets • Identified facet areas • Image • Bibliographic: details of the image • Descriptive: details about image ‘content’ • Business: • context for buying scenario • Business model

  11. Search Engine FacetsImage: Bibliographic

  12. Search Engine FacetsImage: Descriptive * CBIR algorithms associated with facet

  13. Search Engine Facets: Business

  14. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  15. Briefs: Stakeholders

  16. Brief Example Young girls 6-12 yrs old with intellectual ability Girls are more than just pretty This is a broad search on Intellectual prowess over superficial looks. I need a selection of images which can help demonstrate that young girls should have more emphasis on their intellectual ability then being just pretty. Photos need to be of young girls in the 6-12 yo age range. Images can be off a girl looking her body critically, having a stack of books, looking studious, could be a post it note on her forhead, anything really...please approach this brief as broadly as possible. INTENDED USAGE Editorial WHERE? Australia HOW LONG? 1 month, starting from March 21, 2012 EXCLUSIVE USE? Exclusive use in specified regions

  17. Analysis of Facets in Briefs • 85 briefs from ImageBrief, Photographic Assignment Meetup, Freelancer etc. • Facets drawn from: • Commercial search systems • Image classification Scheme • Iterative process of coding: eliminating/merging to create comprehensive set of facets • Outcome: 1508 phrases split into 21 facets

  18. Briefs Statistics

  19. Analysis of Briefs: Facets Classes Business: business decisions about time/budget, rights etc. Image: image description (Westman, 2009). Context: Background information for context of use.

  20. Analysis of Briefs: Business facets

  21. Analysis of Briefs: Image facets

  22. Analysis of Briefs: Context Facets

  23. Analysis of Briefs: Coded items

  24. Analysis of Briefs: Facet Presence

  25. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  26. Image Search vs Brief Facets

  27. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  28. Conclusion • Facet match is high, and users can find what they need with current systems, however… • … a more detailed facet system would help users, to reflect their need expressed in briefs • Need coverage of more facets e.g. usage • Use of Keyword/Tag facet is key issue • Transcripts: use of generic descriptions to clarify queries • Conceptually difficult queries might require context for disambiguation

  29. Agenda • Motivation • Data Collection • Analysis of Search Engine Facets • Analysis of Facets in Briefs • Image Search vs Brief Facets • Conclusion • Acknowledgements

  30. Acknowledgements • City University London: Elena Konkova • Robert Gordon University: Ayşe Gӧker • AmbieSense: Hans Myrhaug • MediaReach: SaadSaraf • Technology Strategy Board: Funding for PhotoBrief project TP12144-76203

  31. References • Image Brief: http://www.imagebrief.com/ • Photographic Assignment: http://www.meetup.com/Photographic-Assignments • Freelancer: https://www.freelancer.co.uk/ • Westman, S. (2009) Image Users' Needs and Searching Behaviour, in Information Retrieval: Searching in the 21st Century (eds A. Göker and J. Davies), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470033647.ch4

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