Video of our data browser (video)
Video of our platform running (video)
API calls (pdf)
View Python code (html page)
View output script (text file)
Click on smartphone name to play video below:
As discussed in Sec. 5, for Scene 6, we omitted the out of focus objective from the user study because there is no lens position that makes all scene elements out of focus. This video is provided here, however, it was not shown as part of the user study.
Click on objective to play video below:
This video is related to Sec. 3.3 in the main paper that discusses the capture of our 4D temporal image sequence dataset. In particular, this video is a real-time screen captured of our AF platform that allows a captured image sequence to be located (denoted as a scene) and browsed. The user can dynamically change the time point and lens position.
This HTML page shows Python code that is used to communicate with the AF platform API in order to generate an output video of scene 4 using the ''face region'' objective. The inclusion of this Python example in the supplemental materials was discussed in Sec. 4.3. Similar code is used to generate the other output videos.
Click here to view Python code..
This text file shows the output script that was captured during the execution of our AF platform. This script was generated from the Python code shown above. The inclusion of an output script in the supplemental materials was discussed in Sec. 4.3.
Click here to view output script..
As discussed in Sec. 5 of the main paper, we have included a snapshot of our user study GUI. The users only need to provide their gender and age once. Each time they click "play video" the random video is played using VLC.
As discussed in Sec. 5 (Fig. 8), this image shows an additional example of output video frames generated by our AF platform using different objectives applied on Scene 10 over time.