New Media
New Media
Artificial Intelligence for Media Data Analytics
The media sector is facing a transition period, traditional consumption modes are changing and media industry must reinvent the way they reach their audience. Media contents are no longer just linear audio broadcast, but also videos, podcasts, and a diversity of structured and unstructured information. The challenge is to leverage rich audiovisual contents and metadata, from past and present programs, and turn them into smart Digital Data that will reinvent the relationship between Media, journalists, archivists and audience as a whole.
API has developed an artificial intelligence (AI)-based media data analytics platform to tackle practical media data management problems. The AI-based platform is able to automatically extract metadata—such as spoken words, written text, faces, speakers, celebrities, emotions, topics, brands, and scenes—from video and audio files. It enables media companies to access the metadata within application or infrastructure, make it more discoverable, and use it to create new over-the-top experiences and monetization opportunities.
Cloud-Based Media Data Management
Digital media has evolved over the last decade to become an important driver for acquiring and spreading information in different domains, such as business, entertainment, and science. The enormous growth of digital media usage has led to an increasing accumulation of data, which has been termed media Big Data. Media organizations are building their IT infrastructures to be more flexible and scalable to meet the growing data demand. Today’s consumers of media content expect flexibility and choices; consumer demand is unpredictable, with spikes and surges in viewership that have to be dealt with in real time. In order to stay competitive, content creators in the digital media field are under great pressure to produce and/or distribute original content more frequently and faster.
API has developed a cloud-based media Big Data management platform, which employs cloud computing power to store, manage, and deliver huge quantities of media data in an agile, dynamic and cost-effective manner, through shifting workloads across both public and private infrastructures. By using cloud computing that can automatically compress, de-duplicate, and compact data, media companies can reduce their costs in storage and delivery technologies and infrastructures.