Cloudinary Blog

Automatic and accurate red eye removal with Cloudinary

Update - April 2016: The add-on described in this post is no longer available since ReKognition terminated their services. However, all features described here are still available via a different and even better add-on by Microsoft. See Facial attribute detection with Microsoft's Face API and the Advanced facial attributes detection add-on documentation.

Red eye often happens due to the use of flash in low light conditions as the light hits the eye very quickly and into the retina. It then bounces off of the back of the eye and emits a red color due to the blood vessels there. Although more professional modern cameras and flashes generally prevent this from happening, red eye may still occur with simpler, smaller cameras (including smartphones). There are various software solutions for red eye removal available on mobile devices and desktops, some of which require manual processing to get good results.

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How to detect and prevent malware infected user uploads

Social networking sites allow users to upload images or other types of files that are immediately available to other users via news feeds or notifications. In some cases, attackers can directly spread infected files, but more commonly, they leverage the viral effect and the fact that users are simply unaware that their files are infected through sharing and collaborating with others. As a site owner or application developer, it is your responsibility to protect users and prevent these situations from occurring. Fortunately, Cloudinary makes this easier with its Metascan add-on.

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Automatically and professionally remove photo backgrounds

It is common for e-commerce, media, and news sites to remove image backgrounds or make them transparent in order to place the main element of the image on either white or color backgrounds. The final result better integrates an image into a site or specific page’s graphic design. For example, a fashion site that presents clothes or shoes should have the main element of a photo (e.g. shoes) extracted from the original image background, then edited to fit the site’s catalogue design and structure.

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How-to automatically identify similar images using pHash

Photos today can be easily edited by means of resizing, cropping, adjusting the contrast, or changing an image’s format. As a result, new images are created that are similar to the original ones. Websites, web applications and mobile apps that allow user generated content uploads can benefit from identifying similar images.

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Animated GIF? Convert to WebM or MP4 | Cloudinary Blog

Short animated GIF-based video sequences seem to be spreading like wildfire around the web.

Media and news sites display short video segments, social apps allow their users to share animated GIFs with their friends, and while the dated animated GIF format is very useful for this purpose, it has one significant disadvantage - its huge file size.

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