1. IMAGE Daniel Harmon Michael Ryan Stu SPLITTERS Rabess Keener Dack Kao Haas

2. BACKGROUND People are taking photos more than ever Modern users are much more computer savvy than in the past, and therefore expect more from a retail photofinishing solution To cater to this new user base, Kodak envisioned a tool that would give customers even greater control over their photos Also, to keep up with the current trends influencing modern UIs, Kodak also desired a new user interface

3. PROJECT REVIEW To meet their needs, Kodak asked us to: Develop a splitting algorithm that can be used in the current Kodak Picture Kiosks Design a user friendly interface and modernize the current Kodak Kiosk user interface

4. PROJECT REVIEW (CONT) The algorithm would: take a source image and split it into 2 or more image panes horizontally or vertically use multiple aspects of computer vision to to analyze photos and provide these splits The UI would: give users a more intuitive experience, while not overloading them with options and features be user friendly and modernize the current Kodak Kiosk user interface

5. REQUIREMENTS Algorithm splits images 2, 3, and 4 ways, vertical and horizontal Algorithm artistically splits images Ability to nudge the image Ability to zoom the image Configurable algorithm settings Support app for demo and testing of algorithm Windows installer/Installation procedures 3d effects Run on a single Windows XP embedded / Vista machine Run in Internet Explorer in “kiosk” mode Coded in C# or in C and C++ that can be accessed from C# components Controllable via a 15” Touch Screen

6. High Level Design

7. THE ALGORITHM (in detail) Able to artistically split 80% of images into 2, 3, or 4 frames. Our solution uses: Face detection Edge detection Color detection We also have an auto function that finds the best split out of all possible split types

8. Processing

9. THE NEW USER INTERFACE (in detail) Users have become more technologically savvy They expect more advanced features in a business- class photo editing solution Our solution utilizes new technology, providing customers with a faster, more powerful experience Our UI draws its control scheme from other popular UIs to give users a familiar, intuitive interface to interact with

10. THE NEW USER INTERFACE (CONT.) Apple’s cover flow was a big inspiration for our application Easy to use and move through many images The controls translate well to a touchscreen interface

11. THE NEW USER INTERFACE (CONT) Large, clearly labeled buttons for each function make it easy for the user to quickly find the action they want Nudge image around to select region of interest Zoom image in and out to focus on image subjects Graphical split buttons Consistent layouts across pages keep the user from having to reorient themselves when moving through the program flow

12. PROJECT RESULTS Features implemented Algorithm splits images 2, 3, and 4 ways, vertical and horizontal Ability to nudge the image both by dragging it and clicking buttons Ability to zoom the image Configurable algorithm settings Support app for demo and testing of algorithm Windows installer/Installation procedures Meets machine specs Welcome animation Carousel Ability to save split photos and view them on a preview page Face detection Edge detection Color detection

13. PROJECT RESULTS (CONT) Features still to be developed “Remove” a picture from the preview screen Stretch goals we didn’t get to View of the region of interest on the main screen Hook up with previous teams photo organizer project Cutting or tearing animations when splitting Color themes for the application Memento stack to support “undo”

14. CHALLENGES Learning new technologies Windows Presentation Foundation Image manipulation algorithms OpenCV Scheduling Team availability conflicts Learning too many tools Trying to fit in too many features Understanding the requirements Designing an intuitive interface Determining how the different aspects of the algorithm should interact

15. REFLECTIONS Things that went well Very interesting problem domain for us OpenCV was useful (but not without its problems!) Use of WPF tutorials / open source projects Great team dynamics Good customer feedback/communication Availability of experts in the field Spiral methodology worked well for our needs Planned our schedule well for the amount of work we had to do Previous Kodak team had document management tools available for us to use

16. REFLECTIONS (CONT) Project Hurdles OpenCV’s C# wrapper wasn’t perfect for our needs Conflicting schedules and limited free time made it hard to meet sometimes Experienced CVS difficulties early in project life Misinterpreted initial requirements, which cost us some development time Had a hard time being granular enough in reporting our activities and being transparent enough in our efforts to our sponsors Some bugs were very pesky to squash

17. DEMO Less talk, more action!

18. QUESTIONS