Widely acclaimed as the world’s biggest sporting event, the World Cup has established itself as the most captivating tournament to look forward to across the globe. Dating back to 1930, when the first World Cup was hosted in Uruguay, it has always engendered numerous moments of excitement, not only for the participating teams but also for the countries they ably represented. Little could anyone have anticipated that a game of 22 able-bodied men running to take possession of a leather ball could become so famous.
Automating the categorization of your images and videos can help democratize access to your organization's creative assets. Many teams throughout your organization have likely spent a lot of time and effort generating high-quality content, but it'd be all for naught if the content just ends up in some anonymous folder on somebody's hard drive or is randomly dropped into your cloud storage with no functional organizational strategy.
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.
eCommerce is a dynamic business. Visitors are constantly checking sites for the best deals or their favorite products, adding to their wishlists and exploring product recommendations from friends and influencers. At the same time, online vendors rely on numerous techniques - such as optimizing page load time, using sharp product images and aggressively targeting ads - to draw in shoppers and convert clicks into cash.
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.
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?
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.
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.