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.
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.
Face Detection is a great feature that enables the automatic modification of images according to the detected faces within an image, making it simple to intelligently crop, position, resize and transform your images appropriately.
Facial Attribute Detection takes the process even further and extracts meaningful advanced data about the face(s) in the image, including the exact location of facial features. This allows you even greater control over your image categorization, and to automatically use these details to smartly crop, position, rotate and overlay images based on the detected facial features.
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.
Front end developers may want to combine multiple images into a single image. For example, when creating and adding watermarks to stock photos, adding shapes or badges, preparing content for print (e.g. placing a logo on a t-shirt or a mug), adding a caption, and so on.
Multiple images can be combined by overlaying them one on top of the other. However, since it is not a given that both the underlying and overlaying images match each other, let alone your graphic design, you may need to perform further manipulations (e.g. resize, crop, change colors, create a better fit). This is where Cloudinary comes in.
Image URLs tend to appear as a long list of random characters that are not intended for viewers and are not very useful to search engines. Concise and meaningful image file names are better for search engines to extract information about an image, therefore supporting your site's SEO ranking.
Often times, users' uploaded image files do not have descriptive names. This creates a great challenge for developers and site content managers who need to maintain SEO friendly, short, and meaningful URLs. Cloudinary helped tackle this issue by offering users two new features: Root Path URL and Dynamic SEO suffixes. These features can be useful for website as well as web application owners, and are especially recommended for content-heavy sites, like online magazines and news sites.
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.
If your site allows users to upload images, they can also upload various processed or manipulated versions of the same image. As described above, while the versions are not exactly identical, they are quite similar.
Cloudinary offers you a comprehensive online interface that allows you to arrange and manage your image assets. With Cloudinary’s Media Library, you can easily view, upload, moderate, and search through your images. We recently enhanced this web interface with a new feature that allows you to instantly view semantic image data (descriptive image metadata), that is automatically extracted from your images.
Here at Cloudinary, we always strive to develop the best possible product, answer as many of our customers' needs and offer a superb support. Since launching 3 years ago we worked tirelessly to build the technology that empowers the Cloudinary product and supports our customers. While doing so, we haven’t really given a lot of love to our website design.
Our customers have always expressed their happiness with our product, but quite a few have (rightly) pointed out that our website design is a bit outdated and does not do justice to what Cloudinary is all about. After all, how can such a beneficial, cutting edge solution, hide behind a 3-year old website design?
Drawing insights from user generated content can be very useful. If you allow users to upload images, you might want to better understand what their images contain. Whether a photo is of a landscape, people, animals, or nightlife, image processing and analysis can assist in further comprehension.
Cloudinary takes care of the entire image management pipeline, from uploading, via dynamic image manipulation, to fast CDN delivery. You can use Cloudinary with our add-on for automatic scene categorization provided by ReKognition, a visual recognition solution developed by Orbe.us.