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detecting all porn seems to be an almost impossible problem. Many kinds of advanced porn (BDSM, etc.) don't have much skin - often the actors are in latex, tied
by mixmax 13y ago
detecting all porn seems to be an almost impossible problem. Many kinds of advanced porn (BDSM, etc.) don't have much skin - often the actors are in latex, tied up, or whatever. It's obviously porn when you see it, but detecting it seems incredibly hard.
Detecting smurf-porn(1) (yes that's a thing...) is even harder since all the actors are blue.
http://pinporngifs.blogspot.dk/2012/09/smurfs-porn.html?zx=7ac31f5871d5a788 http://pinporngifs.blogspot.dk/2012/09/smurfs-porn.html?zx=7... - obviously very NSFW, but quite funny.
- ma2rten 13y agoIt is possible high accuracy if you use machine learning and a sufficiently large training set. That said said even humans sometimes don't agree is something is porn or not.
- rfergie 13y agoJust saying "machine learning" is not very useful here. What machine learning techniques work well in this case and what are the major pitfalls? Then you can convince me that a "sufficiently large training set" exists and is smaller than "all the images on the internet".
- ma2rten 13y agoSee my other post on this page. I would argue that this less difficult than you average image classification problem. Just have a look at what kind of challenges image classification can tackle, picking the correct class out of 1000s of classes. Porn is normally well-lit, the subject is at the center of the image, etc. The main difficulty is to define what is porn and what is not ... It's easy see the difference between porn and pictures of bicycles. But how about porn and artistic nudity? You see it's actually a scale, but you are trying to make a binary decision. Another problem (at least with the method I explained below) is that portraits sometimes get misclassified. Maybe it could help to integrate face detection. I'd suspect that more recent models would not have this problem (e.g. ones that take not only local features into account). Other times it makes mistakes, where you think "why on earth would think this is porn". Again combing different method should help to eliminate those outliers. Outliers are also a problem, e.g. black and white pictures. Again an ensemble of different models (e.g. one color independent one) might help. Niches are not really a big problem. BSDM porn is as far as I have seen the only niche of porn that really different visually.
- tekacs 13y agoCouldn't help but read your second line as talking about the smurf-porn(1) man page. :/ man 1 smurf-porn ?!?!
- pstuart 13y agoObligatory: http://xkcd.com/305/ http://xkcd.com/305/