8. 5
Coding thousands of images
Sources of Images
• Mobile Diary Studies
• Extractions from Social
Media Sites
• Still extracted from Video
• Images from Life-blog or
Wearable Cameras
11. 8
Automated coding is not always the
solution – sometimes the crowd is best!
Coding/Tagging Techniques
• Use automated coding to
eliminate duplicates and
dark/blurry images
• Automated coding platform
groups similar user images
• Grouped images loaded to
Crowd Sourcing
• Final in-house QA.
14. 11
Recognology – Location/context
recognition
Coding/Tagging Techniques
• Use automated coding to
group images both by time
and by similarity
• We then end up with
manageable scenes which
we can then further explore.
• They were in a phone
• They were in a Café
• They were on a train
19. To summarise
16
We need to do this now!– Volumes of images are huge and will only
increase with new devices with camera feature launched frequently.
Enhancing existing mobile offers - e.g. mobile consumption diaries
and path to purchase.
Learning – There are some challenges to overcome. Tech is not
optimal yet. But we have find an interim solution consisting of a
combined approach.
And we still need people!
