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Browsing Personal Images Using Episodic Memory

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10 Subjects (200 photo collections) Five Browsers. Time and location combination browser. BR's Photo-Archiver. Canon Zoom-Browser-EX. Unindexed browser (WinXp ... – PowerPoint PPT presentation

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Title: Browsing Personal Images Using Episodic Memory


1
Browsing Personal Images Using Episodic Memory

Chufeng Chen School of Computing and Technology,
University of Sunderland Email
Chufeng.chen_at_sunderland.ac.uk
2
Related works
  • What is episodic memory
  • Abrams et al. (1998) Episodic memory in HCI
  • Platt et al. (2002) Time clustering
  • Naaman et al. (2004) Time and Location
    Classification
  • Cooper et al. (2005) Time and Colour Clustering

3
Development of Time Location Clustering Model
  • Time and location Clustering model
  • Example of Data sets, and how to separate events
  • User interface

4
Time and location Clustering model
5
Example of Data sets, and how to separate events
6
Example of User interface
7
User Centered Evaluation
  • The hypothesis browsing features related to
    episodic memory, incorporated into our time and
    location combination browser would improve image
    searching of personal collections
  • 10 Subjects (200 photo collections)
  • Five Browsers
  • Time and location combination browser
  • BR's Photo-Archiver
  • Canon Zoom-Browser-EX
  • Unindexed browser (WinXp image browser)
  • Time alone (Platt, 2002)

8
Experimental Design
  • Latin-Square Design
  • Scenario Searching Tasks
  • General Searching Tasks (4 for each subject)
  • Specific Searching Tasks (4 for each subject)
  • Record Searching Time for each Scenario Tasks
  • User Satisfaction Questionnaire for each System
  • Five Likert scale questionnaires
  • The questionnaire had been used in Platts (2002)
    user study

9
Experiment Results (scenario tasks searching time)
10
Experiment Results (Questionnaire analysis)
11
System Centre Evaluation
  • Recall and Precision
  • 1. user and machine place the image pair in the
    same event
  • 2. user places the image pair in the same event,
    but the machine places them in different events
  • 3. user places the image pair in different events
    but the machine places them in the same event
  • 4 user and machine both place the image pair into
    separate events.
  • Recall (pairs in 1) / (pairs in 1 pairs in 2)
  • Precision (pairs in 1) / (pairs in 1 pairs
    in 3).

12
R P Results
13
Findings
  • Time and location browser significantly better
    than other four standard browsers in both
    searching time and user satisfaction
  • Time and location combination browser had greater
    retrieval effectiveness than the time alone
    browser
  • Factors related to human episodic memory, time
    and location, can be used to help users search
    their personal photograph collections more easily

14
Works So Far
  • Develop a Location Annotation System for Personal
    Images (annotating by location gazetteer)
  • Develop a Keyword Search Engine of System
    Annotation and User Annotation
  • Evaluation
  • User study system annotation Vs. User Annotation
    Vs. T L Browsing
  • Recall and Precision System annotation Vs. User
    annotation

15
Location Annotation Data
16
Search Engine Example
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