sharing lifelog experience (midterm)
TRANSCRIPT
Sharing Lifelog Experiences
ODCSSS 2008
Paula MeehanDCUProf. Noel O Connor, Daragh Byrne
Contents Introduction Background Research Event Segmentation Matching Events (1) Matching Events (2) Progress Model
Introduction What is a Lifelog?
Connecting different user’s Lifelog Collections.
Background Research CDVP (Centre for Digital Video Processing)
Event Segmentation
Content and Context in Multimedia Semantics
MPEG feature extraction
Event SegmentationA day’s SenseCam images (3,000 – 4,000)
Multiple Events
Finishing work in the lab
At the bus stop
Chatting at Skylon Hotel lobby
Moving to a room
Tea time On the way back home
Event Segmentation
A day’s SenseCam images (3,000 – 4,000)
Multiple Events
Finishing work in the lab
At the bus stop
Chatting at Skylon Hotel lobby
Moving to a room
Tea time On the way back home
Event Segmentation
Share Events
Event-Segmented image sets
User 1
User 2
Compare Event-Event similarity between Users
Event’s attended by both Users
...
:Similarity matrix
Matching Events (1)
Similarity Score
:
• Scalable Colour• Colour Structure• Colour Layout • Colour Moments• Edge Histogram• Homogeneous Texture
Extract MPEG-7 descriptors for this image
• Scalable Colour• Colour Structure• Colour Layout • Colour Moments• Edge Histogram• Homogeneous Texture
Extract MPEG-7 descriptors for this image
:
User 2 User 1
Matching Events (2)
Progress Presently
Parsing ‘sensor.txt’ and ‘image.xml’ files
Future Work Plot data and compare Extract MPEG-7 Descriptor features of images Match Events of Users Solution for timestamps of events which aren’t
synchronised
ModelMy Events User 1’s Events
My Shared Event User 1’s Shared Event
Shared Event
Thank you