Sharing Lifelog Experience (Midterm)
- 1. Sharing Lifelog Experiences ODCSSS 2008 Paula Meehan DCU Prof. Noel O Connor, Daragh Byrne
- 2. Contents Introduction Background Research Event Segmentation Matching Events (1) Matching Events (2) Progress Model
- 3. Introduction What is a Lifelog? Connecting different user’s Lifelog Collections.
- 4. Background Research CDVP (Centre for Digital Video Processing) Event Segmentation Content and Context in Multimedia Semantics MPEG feature extraction
- 5. 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 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
- 6. Event-Segmented image sets User 1 User 2 Compare Event-Event similarity between Users Event’s attended by both Users Matching Events (1) ... : Similarity matrix
- 7. User 2 User 1 Matching Events (2) 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 :
- 8. 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
- 9. Model My Events User 1’s Events My Shared Event User 1’s Shared Event Shared Event
- 10. Thank you