Cloudinary Blog

log posts of 'Android' tag
Sound Browser: Grand Prize Winner of the Capitol360 Hackathon

Music videos, which comprise an important part of the video-streaming industry, are consistently the most-viewed content on streaming giants, such as YouTube and Vimeo. In exchange for free viewing, those channels serve advertisements for revenue. That business model creates a clumsy user experience, however, as a result of often-repeated ads that don't relate to the content.

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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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Give your mobile app a boost: Responsive image delivery

In this part, I'll show you how to implement our new responsive images solution, which enables you to optimize the image you deliver based on the requesting device's resolution and the available dimensions. This new feature can help you to simplify the many complexities of creating multiple variants of every media assets, with on-the-fly manipulation and fast delivery through the CDN.

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Give your Mobile App a Boost: Image Upload Preprocessing

As a mobile developer, enabling users to upload images and share them with other users is a very common requirement. When developing those capabilities, we need to take into account that most users won't think twice about uploading the massive images that their high-resolution mobile cameras capture. Those huge files are not only overkill for on-screen display, but can also cause significant slow downs in upload and delivery times. And of course those same users wouldn't think twice about complaining or abandoning our app if their overall user experience wasn't smooth and fast.

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Build a WhatsApp Clone with Automatic Image Optimization

In the previous post, we showed how to upload images to a Cloudinary server. In this part, we will play with some of the features we see on the WhatsApp technology. After you or your users have uploaded image assets to Cloudinary, you can deliver them via dynamic URLs. You can include instructions in your dynamic URLs that tell Cloudinary to manipulate your assets using a set of transformation parameters. All image manipulations and image optimizations are performed automatically in the cloud and your transformed assets are automatically optimized before they are routed through a fast CDN to the end user for an optimal user experience. For example, you can resize and crop, add overlays, blur or pixelate faces, apply a variety of special effects and filters, and apply settings to optimize your images and to deliver them responsively.

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Clone WhatsApp Technology to Build a File Upload Android App

With more than one billion people using WhatsApp, the platform is becoming a go-to for reliable and secure instant messaging. Having so many users means that data transfer processes must be optimized and scalable across all platforms. WhatsApp is touted for its ability to achieve significant media quality preservation when traversing the network from sender to receiver, and this is no easy feat to achieve.

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