Ruby on Rails and Cloudinary - image management for an amazing web-dev framework

Apr 22, 2015 by Nadav Soferman

RailsConf - Ruby on Rails and Cloudinary Rails is a great web development framework that was recently considered the coolest framework around. While other frameworks have gained popularity over time, Rails remains one of the most popular web development frameworks to date..

Cloudinary's Rails community includes active Ruby on Rails developers who use Cloudinary’s APIs to streamline and manage their image lifecycle on their sites and web applications. In fact, approximately 33% of Cloudinary’s paying customers use Ruby on Rails. Therefore, we are pleased to be a part of this year's RailsConf in Atlanta, presenting how simple it is to handle image uploads, manipulation and delivery in Rails applications with Cloudinary.

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Automatically and accurately remove red eye from user uploaded photos

Apr 16, 2015 by Nadav Soferman

Automatic red eye removal 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

Apr 08, 2015 by Nadav Soferman

Anti-malware icon 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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Powerful image manipulation and categorization with facial attribute detection

Apr 02, 2015 by Meir Feinberg

Face attributes

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.

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How to automatically and professionally remove photo backgrounds

Mar 26, 2015 by Nadav Soferman

RTB add-on 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.

RTB logo

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Transform your image overlays with on-the-fly manipulation

Mar 19, 2015 by Nadav Soferman

Layer apply 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.

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How to dynamically create SEO friendly URLs for your site's images

Mar 11, 2015 by Nadav Soferman

SEO friendly image URLs 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.

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How-to automatically identify similar images using pHash

Feb 19, 2015 by Nadav Soferman

pHash for image similarity detection 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.

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Instantly view semantic image data with a cloud-based media library

Feb 05, 2015 by Amit Sharon

Semantic image metadata 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.

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How to automatically tag and categorize photos according to their content

Jan 05, 2015 by Nadav Soferman

ReKognition scene categorization 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.

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