With the advent of digital cameras and portable cameras, there has been a major change in the way visual creation and visual consumption have taken place. Today, the progress of the algorithm has brought another wave of visual innovation and consumer innovation. AI is more and more adept at screening, managing and analyzing images. This changed the way companies and designers think about visual effects. This article has been compiled from the original Venturebeat article titled AIischangingthewaycreatorsandbrandsworkwithvisuals.
Collecting visual material on a large scale
In the past decade, the reduction in hardware prices, the speed of operation, and the ever-increasing data set have caused a revolution in visual computing. Technology has changed the entire creative process: photo conception, shooting, editing, distribution, and photo discovery. The gap between cameras on mobile phones and professional cameras is rapidly shrinking, so everyone can take photos and let others see their photos. Photos taken with the iPhone can now be used on the covers of magazines and advertisements, so quality is no longer a problem. The performance of each new release of the portable camera will increase. Nowadays, everyone is trying to get photos to get attention, but how can we ensure that the wonderful contents in the photos will not be overwhelmed?
This task is beyond human capabilities. The number of photos uploaded every day is so large that one person can't organize at all. Image sharing application EyeEm uses AI to solve this problem. EyeEm researchers constantly train algorithms to discern which photos are available and which are not. The only way to increase the amount of data processing and people involved is technology.
AI can also help designers. The algorithm can analyze the photos on the camera and recommend uploadable photos. Uploading photos can sometimes be frightening. Algorithms like this can make uploading photos easier and give photographers encouragement and advice. This AI system can be run offline or on the device (that is, it will not upload any photos to the server).
Sort by relevance
Users searching for pictures are individuals, so users need personalized search results. Today, personalized search has become an inevitable trend, and AI can achieve this
AI can help brands find images that match their aesthetic or style. Machines can view photos, extract relevant information, keep learning, and ultimately understand the needs of the brand. For example, researchers can train AI to find images that best match the aesthetic of a brand in a library.
Real ROI of AI
The hype of AI is real, and so is the return on investment. Online advertising spending has exceeded TV spending (which is itself a $72 billion industry), and advertising spending on social platforms alone has reached more than $40 billion. Computer vision technology has been used to further explore the impact of visual effects on customer switching, retention, and access. AI can have a huge impact on marketing, from purchasing and editing to predicting event presentation and visual effects.
These technologies seem to replace human designers and consumers, but I believe these technologies can make humans more powerful. The machine will not replace the photographer's work, it will only enhance the photographer's work efficiency. Designers can also spend more time focusing on more important things: creation.
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