Cloudinary Blog

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Christian Nwamba

Writer

Christian Nwamba (CodeBeast), is a JavaScript Preacher, Community Builder and Developer Evangelist. In his next life, Chris hopes to remain a computer programmer

Build a Facial Emotion Recognition Based Video Suggestion App

Developers are always looking for new and creative ways to deliver content that resonates with the way users feel. Often using the latest technical innovations the market has to offer such as Artificial Intelligence (AI) and Machine Learning (ML). What better way to demonstrate innovative uses of these technology in a consumer market than capturing expressions from your users and then serving content based on that expression!

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How to Make Boomerang Video Effect With Cloudinary

When you see the term boomerang, what is the first thing that comes to mind?

A thrown tool made of wood that returns to its thrower? Another definition is reversal, logically portraying the aim of the tool itself. Based on this definition, the term boomerang videos” came into play to depict videos that loop back and forth.

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Shortening the Development Cycle of Media-Related apps with Cloudinary

Currently, the Android platform boasts the highest demand for mobile solutions, as evidenced by Google’s announcement in 2017 that there were two billion monthly active Android devices, a number that is likely to increase in the years ahead. For app developers like you, now is the right time to build and release solutions for Android. you might have also noticed that a higher percentage of apps being developed nowadays are filled with visual media: images and videos.

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Build Your Own Image Storyboard Android App

Globally, approximately two billion people now own smartphones, which also feature cameras capable of capturing photos and videos of a tonal richness and quality unimaginable even five years ago. Until recently, those cameras behaved mostly as optical sensors, catching light that determines the resulting image's pixels. The next generation of cameras, however, can blend hardware and computer-vision algorithms that apply to an image's semantic content, spawning creative mobile photo and video apps.

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Google Analytics Video Tracking Made Simple

Most web analytics only look at page interactions. But what happens when the major content on your page is a video. You want to know when and how long your users are interacting with your media, when they paused to take a closer look at your media content and when they skipped some content because it wasn’t relevant to them. These - along with a lot of other reasons - are why you should not only analyze open/visits rates, but also drill down in the media content.

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