Lack of experience and compression knowhow can cause significant user-experience problems. For instance, on a major retail site, I recently ran into a 48 MB video-hero banner. Pulling out the video and encoding it as an H.264 MP4 reduces the size to 1.9 MB. So, despite the desire for more video content, developers have not yet caught up to best practices. How do we get the best of both worlds without creating a disaster like the one above?
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!
As the number of channels and devices continues to grow, it is becoming much more challenging to deliver an optimal visual experience. On an eCommerce site, engagement and conversions are critical. Factors such as page load time strongly influence search engine rankings, shopping experiences, conversion rates and, ultimately, your revenue. An optimized visual experience positively affects conversion rates. But it also can introduce resource bottlenecks, as every image and video needs to be delivered in the most efficient format, quality and resolution, based on the viewing device.
When the <video> HTML tag was first introduced in 2007, Web Hypertext Application Technology Working Group (WHATWG)(https://whatwg.org/) took interactivity with the Web to a whole new level. No longer do you have to tackle unique plug-ins or insert weird markups before posting videos online. Who still remembers the Flash days?
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.
Bleacher Report is a global digital destination for sports fans, creating and collaborating on content at the intersection of sports and culture. Owned by Turner, a division of Time Warner, Bleacher Report's website and social channels focus on sports culture for the next generation of fans. Bleacher Report also has a five-star mobile app and popular email newsletters, which are part of the company’s strategy for instantly delivering in-depth articles, results and video highlights personalized for users’ favorite teams, players and leagues.
Before deciding whether to watch a movie, you would likely check out its reviews and ratings on sites such as Rotten Tomatoes, IMDB, or Metacritic. You’re not alone. Online reviews figure prominently as a factor that influences viewers’ decisions on which movies to see. In addition, filmmakers always produce trailers to be shown as previews that showcase the highlights of their movies in the hope of stirring a buzz and anticipation for the debut.
We’re very excited to announce our new partnership with eZ Systems. Developers leveraging eZ’s open source Content Management Platform, eZ Platform, can now use Cloudinary's award-winning solution to deliver more responsive websites and applications that improve customer engagement.
From time immemorial, information and communication has been critical to society. Over time, the means and methods of communicating has evolved considerably, starting with storytelling amongst the early men to print in the 1600s.
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.