Optimizing Image Optimization with Machine Learning

At wao.io we are, among other things, concerned about the time customers wait for your website. One key factor to speed things up is the amount of data that needs to be transferred – the best bytes are those which need not to be sent. Because images make up a large fraction of the transmitted data we transcode images before they are delivered to browsers. To make sure that the transcoding does not affect the image quality, we employ Automatic Image Quality Assessment (AIQA) procedure.

To further improve the efficiency of the transcoding, we combine the transcoding with a machine learning pipeline and see a significant decrease of data that is transmitted.
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This christmas you will lose potential customers

Christmas time has come, and with it the potential of big deals. For as we all know, internet traffic peaks in christmas season. All those monetary gifts and refunds from reindeer socks need reinvestment after all.

So, if the twelfth day of christmas only brought you 12% of visitors after your entry page, you might wonder what went wrong on the first day. Next year, to save you from tears, you might want to work on a special factor to lower your bounce rate: page load speed.

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