http://www.lost.eu/20ac1

So there are a few notable developments regarding YouTube. YouTube’s business developments aren’t all positive, but its market share is continuing to grow. The latest numbers indicate a 56.38% market share, a market share increase…

Technically:
Motional Media ID is compact. In fact only about 8 to 16 bytes are needed to identify the program from a clip, if one is wanting a trillion to one probability of making a correct ID. The database for 2 million hours of video requires only about 1.2 GigaBytes of fingerprints. Therefore searches are fast, and the software analysis and logging system can run at multiple tens of times real-time, in fact as fast as the video can be supplied, whether from a hard drive, Internet ultra high bandwidth, or of course even much faster from RAM. (Assuming a today’s PC processor). There are other considerations and aspects of the power of the system such as its inherent robustness that are beyond the scope of the discussions here.

My Motional Media Identification System is powerful for the reason that the false positive rate can be dynamically set to be any value that the user (MySpace in this case), feels comfortable with. For example with a million programs in the library it can be set to have an error probability threshold at -say- one trillion to one, less or more at choice. The only condition is the duration of the clip being analyzed. Falsely measured vectors are ignored should the clip be so distorted that erroneous measurements were made. In such a case the process continues to compensate for the error. So far on really terribly distorted images on UGC sites there have been zero false positives and zero false negatives. Just because a clip is identified does not necessarily mean it will be blocked, that is the perogative of the owner of that content, in fact some creators like the publicity gained and consumer’s enjoyment, by letting it go out.

This is just icing on the cake.

for the most part, it works - you guys are pointing out the exception to the rule and making it appear(potential ways around it) to be a problem of huge magnitude

i’m def interested in hearing more about this type of copyright detection software and other firms that are trying to do it. seems to me like a big oppty for the person that can figure it out.

also the issue of mash-ups and what constitutes one vs a stolen piece of work will be very interesting to see how it plays out. Im a big fan of mashups so would be sad to see enforcement against them.

Yay Marshall! Nice to see you posting again!

Does that mean you’re back at TechCrunch? Or maybe you never really left?

- Steve

The scary thing is that MySpace is way too big to handle the individual needs of content creators in situations like this, that is why sites like Revver and Blip are desirable for those who are spending more than 5 minutes putting together a video.

I give it about a week.

Oh, right, I forgot that the RIAA and MPAA think that “fair use” is a legal concept developed by the Tooth Fairy and the Easter Bunny while interning for Santa.

Youtube has also declared that they’re going to pay users for their content, something that Metacafe and Revver already do.
Meanwhile they’re distributing content to Verizon customers for a monthly fee, and their producers are still left unpaid.

While video is just a portion on MySpace’s offering, it’s all that YouTube does. So any changes to their processes will have a huge impact on their product/experience.

I’m skill skeptical on the video classification, it’s a very hard problem to solve in a robust manner (i.e. identification works across codec compression and other means of modifying the original). So I’ll be following this one closely.