Next in video production: Artificial Intelligence, Big Data and machine learning
As technology evolves so does the future of video production. A new era of revolutionary technology is happening, and Artificial Intelligence (AI) is the new biggest hit. Along with it, big data and machine learning keep playing a big role in the new future of filming.
Not only is this affecting sectors such as business or computing and software, but it will impact the video production industry as well. According to Forbes, in the next seven years, the industry is projected to be worth $99.3 billion, with all from the entertainment domains. All this is due to AI and big data, so, taking advantage of this new revolution will be key in the future.
So, what exactly are AI, Big Data and Machine Learning?
AI, Big Data, and Machine Learning are all technological buzzwords that have gained significant popularity in recent years. But what do they actually mean?
Let’s start with Big Data. It refers to the vast amount of data that is generated online every day. The generation of this data comes from a wide range of sources, including social media platforms, online transactions, and website interactions. However, it is impossible for humans to process such a large amount of data. This is where Machine Learning comes into play.
Machine Learning is a subset of Artificial Intelligence that allows computers to learn from data without the need to explicitly programme it. It involves the use of algorithms that analsze data and generate models, which then identify patterns, and make predictions based on the data. By doing so, machine learning can help businesses understand customer behavior, make predictions, and automate decision-making processes.
Artificial Intelligence, on the other hand, is a broader concept that refers to machines that can perform tasks that usually require human intelligence. This includes language translation, speech recognition, decision making, and problem-solving. Machine learning algorithms power AI, which incorporates other techniques like natural language processing and deep learning.
How can these technological advances influence video production?
1. Saving time in the production process
Firstly, the general aspect of video production can be controlled with artificial intelligence. Some options are coordinating colours across scenes, reducing background track loudness when individuals speak or adjusting a clip to some other channel’s style.
Moreover, IBM has tested AI successfully with their program Watson. This big tech firm was able to reduce to 6 minutes the content of a full film to only use artificial intelligence.
2. Video editing focused on the personalisation of the targeted audience
Additionally, big data and AI can identify segments of audiences based on people’s behaviour or their demographics and tendencies. This is important since the marketing strategies to approach potential and existing customers are based on those segmentations. Also, some companies use this to make recommendations to users based on their tastes, so more focused targeting will attract more clients. Hence, basing your choices on AI analysis of your data will make your marketing efforts efficient. Finally, video editing will be done around this to make it visually preferable.
3. Deeper video analysis and focus
Nowadays, computers are able to analyse the video entirely and identify which parts are not correct. This saves a large amount of time for editors to have to revise every single detail of the filming. Also, it is possible that it focuses on specific parts of the production.
4. Use of a Robotic camera operator
Concerning robot camera operators, it does not mean the end of the producers’ job. Instead, it helps them since the pulse can sometimes be tricky. Thus, with this option, each shot will run smoothly and it will take less time to make the production.
Overall, it is these new technologies are relatively new and may seem tricky. However, they will make all work easier and more efficient, so, the sooner to start implementing it, the bigger advantages it will bring to production.
Thank you for reading and hope you find it interesting,
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