MediaShow 5: 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
11. MediaShow 5: Analysis
I’m spending so much time describing what’s wrong with MediaShow 5 because CyberLink came so close to having an incredible, mind-blowing face tagger. All of the right pieces are here. They just weren’t tied together tightly enough. I’m not even going to take you through the manual auding/editing process because it’s so similar to the process found in iPhoto, right down to having to having stray body parts tagged as faces.
After the 5-minute initial analysis, I spent 25 minutes going through the first wave of Pending groups, most of which had only one image in them. I probably could have shaved three to five minutes off of this stage if I’d better understood how to use the Skip All feature in conjunction with the group thumbnails down the right edge, but I only really grasped this after my initial run-through. The auditing/editing process took another 24 minutes. This stage is your time sink, filled with a lot of unnecessary clicking and delay because the UI hasn’t been optimized for these incredibly repetitive tasks. It’s as if CyberLink spent all of its energy on the grouping stage and merely copied Apple for auditing, which means that MediaShow copied all of iPhoto’s design flaws but nearly none of its advantages. Every click is another second or two wasted, and it adds up in a hurry. This is much of why my tagging run through MediaShow took a total of 54 minutes compared to 37 in iPhoto.
Explanation: I’m going to give CyberLink the benefit of the doubt on accuracy based on screen captures I’ve seen of other people’s MediaShow sessions and assume that my test collection is on the left edge of the accuracy bell curve. And again, even the accuracy I saw first-hand would be good enough if the face tagging UI were more flexible and allowed for fast group clumping by the user. I’ll keep saying it: The UI is the tagging bottleneck, not analysis speed. CyberLink is one revision away from having an overall 4 or 4.5 if it can streamline its interface and get the user more involved in the association process.
I worry that this review paints MediaShow 5 in an overly negative light, so let me be clear. This is a decent, useful program. As you spend more time with it and learn how to better use the tools it offers, you’ll discover ways to trim time off the tagging process and improve your overall experience. But being in the position to take a comparative look at the product, I’m just frustrated because MediaShow 5 could have been awesome and instead is only good. It’s like when your kid gets a B on a test even though he knew enough to get an A. You still love and praise him, but you nudge him to try harder next time.
- Previous page MediaShow 5: Criticisms, Cont'd
- Next page Face.com Photo Tagger







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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.