In a recent meeting held in Sydney, the group released a call for evidence to explore AI-based methods to find a new image compression codec. The program, aptly named JPEG AI, was launched last year; with a special group to study neural-network-based image codecs. [Read — Study: AI expert Gary Marcus explains how to take AI to ‘the next level’] Under the program, it aims to find possible solutions towards finding a new standard. To do that, it has partnered with IEEE (Institute of Electrical and Electronics Engineers) to call for papers under the Learning-based Image Coding Challenge. These papers will be presented at the International Conference of Image Processing (ICIP) scheduled to be held at Abu Dhabi in October. The committee said it wants to find proof that AI can do a better job of achieving better compression with large image databases: Having AI models help in attempts to deliver high-quality media with data efficiency in mind isn’t entirely new. In 2017, Netflix developed a new AI-powered codec for emerging markets such as India, where people watch a lot of content on their phones through data networks. Plus, researchers have presented several papers on image compression through machine learning models. It’ll be interesting to see a completely new AI-based image codec. Pied Piper, anyone? You’re here because you want to learn more about artificial intelligence. So do we. So this summer, we’re bringing Neural to TNW Conference 2020, where we will host a vibrant program dedicated exclusively to AI. With keynotes by experts from companies like Spotify and RSA, our Neural track will take a deep dive into new innovations, ethical problems, and how AI can transform businesses. Get your early bird ticket and check out the full Neural track.
