AI in media management: new horizons for press, film, and TV

‍Artificial Intelligence (AI) is not just a trend; it's a transformative force reorienting many sectors of life and the economy. The media industry is no exception. A new model for managing media resources is taking shape, offering us a glimpse of the exciting future. AI technology's profound and multifaceted impact on creating, storing and processing media content is changing how it is used and experienced, inspiring us to rethink the possibilities.

Media companies create, collect, and distribute enormous resources, such as documents, images, videos, and other multimedia files, the number of which is constantly growing. Therefore, they require increasingly better and more effective tools for organising and storing them.

The need for innovation in media management

Traditional systems and processes are no longer sufficient to exploit and handle multimedia resources on the scale they have achieved today. As a result, media organisations are struggling with bottlenecks that make it challenging to effectively manage the media resources they have in their databases.

Integrating AI with media databases can unlock not only their potential but also new revenue sources, providing companies with growth and competitiveness. A new perspective on media management is emerging.

What is new media management?

The use of AI-based solutions in media management involves significantly improving the indexing of materials contained in multimedia databases and increasing the throughput of their search and, as a result, the potential for their use.

Thanks to AI-based processing, media organisations can rediscover their media's treasure trove, increasing access to archives and gaining deeper insight into multimedia. AI tools allow you to utilise their substantive potential fully.

Automatic information processing not only streamlines operations but also captures metadata, selecting and indexing their content. AI-based search engines have an intelligent search function for files and databases, which allows you to identify the properties of a thing or person sought in them – attributes and symbols.

💡 Metadata – structured information used to describe resources/information objects, providing detailed data on their attributes in order to facilitate their discovery, identification, and management

Examples of AI use in the media industry

Popular AI-based functionalities used in the media industry include:

• automating repetitive tasks – video editing, script formatting, voice recording, and post-production tasks;
• categorising content based on genre, industry, and country, etc.;
• recognising faces, e.g. actors, journalists, or politicians;
• identifying objects, places, music, voice, or sound effects;
• detecting specific actions and correlating them with appropriate terms, topics, or entities;
• optical character recognition (OCR) in image files;
• speech-to-text conversion and automatic translation;
• selecting popular topics or keywords;
• analysing sentiment (positive or negative) and detecting emotions in the media.

Benefits of AI-powered media management

The transformative impact of AI on all content creation, video, gaming, film, music and advertising – from recommendation engines to video-to-text tools to synthetic humans – seems limitless today. The emergence of AI-powered products has also opened the door to new management methods.

The way companies control their media assets is changing, making them more efficient and effective. They are increasingly adopting intelligent solutions – automating content processing, streamlining indexing and organising assets, and providing users with intelligent media search engines.

The use of AI in media management can lead to significant time and cost savings, greater productivity, enabling more strategic resource allocation and higher revenues.

AI media management systems ensure that:

• media consistency and quality are easier to maintain;
• content is organized, up-to-date and easily accessible;
• there is less risk of losing important assets;
• a given file is easily recovered;
• content can be improved;
• files can be automatically tagged and categorised;
• searching for content becomes intuitive and convenient.

New AI-based media management also impacts employees' daily lives. Proper resource management allows teams to reduce the number of tedious tasks and improve collaboration, resulting in higher productivity.

By automating search, media teams can also monetise their media more easily and quickly. They have an effective, scalable way to organise and share relevant media with buyers or partners.

AI-Powered Media Management Across Industries

1. News media industry

News media can use AI-based media management systems to create stories. With a centralised database that categorises content and documents, they can:

• use other data, such as financial reports, sports scores, or weather forecasts;
• verify and analyse similarities, such as to check facts;
• convert text to video, speech to text, and text to speech (in real-time).

2. TV industry

AI-based database systems streamline various aspects of TV content production, from script writing to post-production. AI automates repetitive tasks like video editing, reducing production time and costs while maintaining quality standards.

3. Movie industry

AI-based media management systems are opening up new possibilities in the movie industry, including script analysis, visual effects, post-production, marketing, and distribution.

AI media management tools for your business

Whether you are a business manager looking to stay competitive or a multimedia designer looking to streamline your creative work, AI offers new opportunities for intelligent media management.

You can choose AI tools and solutions that meet your creative and business goals by understanding your specific needs.

Media Indexing Engine

The Media Indexing Engine is WEBSENSA's innovative multimedia indexing engine used in media companies. We designed it to intelligently recognise and categorise specific elements in audio and video content. They are identified, thanks to which the system distinguishes, among others, people, emotions, locations, objects and text in images and videos.

Multi-layered audio content analysis is used to provide a richer and more detailed understanding of audio files. It offers:

• audio descriptions and diarisation of spoken texts;
• translations into any language;
• identifies vulgar language;
• detects emotional subtext.

The integration of images, emotions, sounds, and text also enables precise identification of combinations of these elements, resulting in the ability to identify complex scenes or sequences of events. The system also enriches them with descriptive tags.

The Media Indexing Engine revolutionises how media organisations access multimedia content in their databases, for example, by enabling faster and more precise content creation for current media releases. It returns results with the accuracy and speed required by the sector.

The Media Indexing Engine is suitable for:

• movie studios with extensive film libraries that need a variety of information about each scene;
• news and publishing agencies that require fast access to materials for publication;
• TV and radio that use multimedia from their databases in broadcasts and programs.

Media Search Engine

The Media Search Engine is our AI-based multimedia search engine that uniquely simplifies navigation by redefining the way film materials are browsed.

Users can now intuitively find exactly the material they are looking for, saving significant time. Thanks to the latest AI algorithms, this tool provides precise and fast search results (the engine delivers them in seconds), because:

• digs into videos and identifies various elements in them – from characters to symbols;
• analyses nuances in dialogues, settings and even subtle emotions.

Media Search Engine makes it easy to locate and use existing resources, finding applications where you need to find specific scenes, dialogues and characters because:

• quickly explores film materials with extraordinary accuracy – both contemporary and archival, with a particular focus on black and white material – from historical documentaries to classic cinema;
• streamlines the process of searching extensive media libraries;
• offers repurposing of video content – whether someone is looking for historical material to supplement the story or wants to refer to earlier news clips – it is used to find the perfect clip or image for the target audience.

Media Search Engine will be helpful in:

• advertising and marketing, where you need quick access to suitable material that reaches the target group;
• film production, where access to specific scenes in libraries speeds up the creation process;
• newsrooms of news publications, which need ideal media to illustrate the published content.

Summary

AI in media management is a revolutionary force that drives productivity and creativity, resulting in savings and audience engagement. Specialised multimedia indexing and search engines empower the process of managing materials. Thanks to this, you can find what you are looking for in a short amount of time.

If you are looking for AI tools to improve your company's media management processes, we encourage you to explore our dedicated products. Media Indexing Engine and Media Search Engine are systems explicitly created for the film, press, television, and radio industries to support intelligent resource management.

Contact our specialists, who will present the innovative possibilities of these AI tools and help you adapt them to your company's unique needs: WEBSENSA – Contact.