WLPG: Analysis
Source: Tom's Guide US | Keywords: facial, recognition, tagging | Themes: Software
- 1. The Tagging Challenge
- 2. Apple iPhoto ‘09
- 3. Apple iPhoto ‘09: First iPhoto Steps
- 4. Apple iPhoto ‘09: Wrinkles in Faces
- 5. Apple iPhoto ‘09: Funny Faces
- 6. iPhoto Analysis
- 7. CyberLink MediaShow 5
- 8. MediaShow 5: Warning--Wide Load
- 9. MediaShow 5: UI and Criticisms
- 10. MediaShow 5: Criticisms, Cont'd
- 11. MediaShow 5: Analysis
- 12. Face.com Photo Tagger
- 13. Photo Tagger: Opening Accuracy
- 14. Photo Tagger: The Tagging Process
- 15. Photo Tagger: Working With Photo Finder
- 16. Photo Tagger Analysis
- 17. Google Picasa 3.5
- 18. The Picasa Name Game
- 19. Picasa’s No Dog
- 20. Picasa Analysis
- 21. Microsoft Windows Live Photo Gallery
- 22. WLPG: Name On!
- 23. WLPG: Naming, Bonus Round
- 24. WLPG: Analysis
- 25. More on this topic
24. WLPG: Analysis
Explanation: I confess, having to make that second pass through on auditing soured my opinion a bit and it exposes one of the few ambiguities or flaws in Microsoft’s UI. But even ignoring that, a total job time of 47 minutes is hardly exceptional. It proves the point that face taggers need a combination of predictive association as well as a streamlined method for user input during auditing. Live Photo Gallery is too conservative in its tagging, and you pay for it on the back end of the job. The interface is a breeze to navigate, and I like the image editing aspects of the application. But Google has Microsoft beat with superior features (synchronization, predictive association) and a cleaner auditing process.
While we’ve examined face taggers as if they were a new class of application, there’s little doubt in my mind that face tagging will eventually become just another bit of functionality bundled into photo editors and similar multimedia packages. However, we may be seeing early signs of which companies will prove better at or more committed to making social media more convenient for users. After face tagging, we’ll no doubt soon have video tagging, which will prove even more demanding. Predictive visual analysis has a long way to evolve, but if these early examples in the consumer space are any indication, I think the technology will eventually be saving all of us a tremendous amount of time on a wide range of daily tasks.
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1. let just say I have spend weekly time on a low end pc to get 33 GB photo with so many file. How do I save this tag when I am reinstall windows?
2. About the portabilty in no 1. Picasa has picasa.ini in every folder, but when it corrupt, the picasa.ini is not helpful recovering the weekly time spent.
3. Speed? Why there is no benchmark graph like usual?
4. Try gradiation photos or something similiar. It will see about the acuration.
5. I want to get the best speed, what is the most needed hardware. If Processor will I7 better than C2D? If GPU, will Geforce GTX 295 better than 9800?
I have private paint experience using picasa. I have taging many face in a week of Sempron 2800+ OC to 2 Ghz. When the face recognation is done, for what ever reason, my cpu is dead (dead power electricity). When the electricity power is up, my pc is on windows. The picasa is corrupt. My one week OC is for nothing. DAMN
I recently tagged all my photos with Picasa. I think i personally tagged more than the software did--the software is VERY cautious. It also repeatedly asked to tag posters, even paintings that were on my walls. Finally, it doesn't do well with babies--which is no surprise because they all look the same to me too :-)
Its cool, but im not sure the outcome was worth sitting there tagging hundreds of pictures of ex-girlfriends.
I am giving comment for testing.
Deadlockedworld--you don't have to tag everyone in every album in Picasa--just don't tag albums that have your exes in them. I definitely don't tag everyone in my photos--only those people that are important to me.
Adobe's Photoshop Elements 7 has the ability to detect faces but not automatically match them. It did make tagging much quicker. I could select 40 pictures from a party and tag the lot all at once.
However, I found that there were several pictures that it didn't catch. So, I ended up having to go through the whole bunch manually anyway to catch the stragglers. I found I spent as much time, if not more, making sure I got everything. So, I'm not sure that the "helpful tool" actually did much.
I am using iPhoto '09 and I found that the predictive tagging is getting less and less accurate as the database of tagged faces increases. Impression confirmed by one of my friends using the same app. For example, my wife is probably the most frequent face in my collection and the software has a hard time identifying her. On the other hand, I tagged the face of a friend I see rarely and I was welcomed with 4-5 good matches.