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<blockquote data-quote="jawbroken" data-source="post: 71345" data-attributes="member: 14372">Because the middle of the frame could be dark and hard to determine picture content. This way you get sample points across the frame, but weighted towards centre content, which gets sampled more. It is not as complicated as it looks, just a simple lookup table and a multiplication you have to do anyway to determine sample points.The pictures show sample points. For example, if you pick a row in the first picture and scan across it, the points to sample are the points where you cross the blue line. I have given it a shot and it works very well for image content determination. I will give you some code, for an example.<a href="http://pastebin.team-mediaportal.com/10378" target="_blank">http://pastebin.team-mediaportal.com/10378</a>So it works pretty much like your random sampling worked, except instead of random points you can just multiply samplePoints by the image width for all i and get a series of sample points that are well distributed for finding image content.Perhaps you have a better solution for a good sampling pattern, I would be happy to hear of it.Thanks,&nbsp; &nbsp; &nbsp; &nbsp;&nbsp; Daniel</blockquote>

[QUOTE="jawbroken, post: 71345, member: 14372"] Because the middle of the frame could be dark and hard to determine picture content. This way you get sample points across the frame, but weighted towards centre content, which gets sampled more. It is not as complicated as it looks, just a simple lookup table and a multiplication you have to do anyway to determine sample points. The pictures show sample points. For example, if you pick a row in the first picture and scan across it, the points to sample are the points where you cross the blue line. I have given it a shot and it works very well for image content determination. I will give you some code, for an example. [url]http://pastebin.team-mediaportal.com/10378[/url] So it works pretty much like your random sampling worked, except instead of random points you can just multiply samplePoints[i] by the image width for all i and get a series of sample points that are well distributed for finding image content. Perhaps you have a better solution for a good sampling pattern, I would be happy to hear of it. Thanks, Daniel[/i] [/QUOTE]

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