personal photo browsing: breaking out of the shoebox

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Personal Photo Browsing: Breaking Out of the Shoebox Björn Þór Jónsson Reykjavík University Hlynur Sigurþórsson, Grímur Tómasson, Kári Harðarson, Laurent Amsaleg

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Personal Photo Browsing: Breaking Out of the Shoebox. Björn Þór Jónsson Reykjavík University. Hlynur Sigurþórsson, Grímur Tómasson, Kári Harðarson, Laurent Amsaleg. Digital. Photo Shoeboxes. The Pros. Zoomable interfaces Very fast thumbnail handling Features: Nice slide-shows - PowerPoint PPT Presentation

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Page 1: Personal Photo Browsing: Breaking Out of the Shoebox

Personal Photo Browsing:Breaking Out of the Shoebox

Björn Þór JónssonReykjavík University

Hlynur Sigurþórsson, Grímur Tómasson, Kári Harðarson, Laurent Amsaleg

Page 2: Personal Photo Browsing: Breaking Out of the Shoebox

Photo ShoeboxesDigit

al

Page 3: Personal Photo Browsing: Breaking Out of the Shoebox

The Pros

• Zoomable interfaces

• Very fast thumbnail handling

• Features: – Nice slide-shows– Web sharing– E-mail generation– ...

Page 4: Personal Photo Browsing: Breaking Out of the Shoebox

The Cons

• Few attributes used (time, tags, folders, ...)

• Limited annotations (text, no concepts)

• One dimension at a time

• Search ≠ browsing

Page 5: Personal Photo Browsing: Breaking Out of the Shoebox

OLAP

• Useful for gaining new insights into data

• Dimensions, slicing’n’dicing, pivoting

Page 6: Personal Photo Browsing: Breaking Out of the Shoebox

Computer Games

• Successful at keeping users occupied

• Three-dimensional navigation

• Overview vs. details

Page 7: Personal Photo Browsing: Breaking Out of the Shoebox

PhotoCube

• ObjectCube data model

• C++ / MonetDB server

• Python / Panda3D interface

Page 8: Personal Photo Browsing: Breaking Out of the Shoebox

Visual Tagging

• Drag and drop

Page 9: Personal Photo Browsing: Breaking Out of the Shoebox

Similarity Browsing

• Combining searching and browsing

Page 10: Personal Photo Browsing: Breaking Out of the Shoebox

Conclusions

• PhotoCube = OLAP browser for photos• Current status: A working prototype

– UTmessan on Saturday (see www.utmessan.is)– Demonstration at ICMR, Italy in April

• Future work:– New analysis methods (face recognition, ...)– Presentation (aggregate groups, ...)– Browsing experience (similarity search, ...)