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Whilst I agree that programmatically eliminating porn images is a very hard problem. Programmatically filtering porn websites might be easier, beyond just a sim
by hugofirth 13y ago
Whilst I agree that programmatically eliminating porn images is a very hard problem. Programmatically filtering porn websites might be easier, beyond just a simple key word search and whitelist.
If you assume that porn tends to cluster, rather than exist in isolation, then a crawl of other images on the source pages , applying computer vision techniques, should allow you to block pages that score above a threshold number of positive results (thus accounting for inaccuracy and false positives).
- VLM 13y ago"score above a threshold number of positive results" How about social scoring? A normal (or even a weirdo) teenage boy would spend less than a second examining my ugly old profile pix, but after ten or so of your known teen male users are detected to spend 5 minutes at a time, a couple times a day, closely studying a suspected profile pix, I think you can safely conclude that pix is not a pix of me and then flag / censor / whatever it for the next 10K users.
- hugofirth 13y agoThe graph theorist in me is rubbing my hands in glee at the thought of seeing if you could extrapolate out that approach to catch a broader range of offensive imagery through relationships and usage patterns.
- XorNot 13y agoKey problem: profile pictures are everywhere on a website by definition. People look at them for over an hour at a time depending how your site is laid out. If you wanted to spot shock imagery it's easier - study navigation aways or rapid scrolling.