Live streaming and AI are two of the highly discussed topics to explore in today’s era of digitization and advanced technologies. But the most intriguing part here is – AI and live streaming are no more two separate areas to explore but are strongly related.
The application of AI in live streaming has brought significant changes in the way live streaming used to be perceived so far. On one hand, it has widened the range of AI applications. On the other, it has transformed the whole live streaming experience for the audience significantly.
Starting from automating live streaming to interpreting or translating live language, AI simplifies everything in live streaming. Furthermore, AI helps in different ways such as providing optimum security, better privacy, finding the most suitable encoding settings, and others.
As stated in a recent report, the global AI market was worth US $93.5 billion in 2021 and is set to grow at 38.1% CAGR through 2030. The growing application of AI in the streaming sector, including live streaming, is definitely a major contributor to it. So, let’s start from the basics before we delve deeper into AI in live streaming.
AI in Live Streaming in 2022: The Top Advantages and Use Cases
AI in live streaming is highly relevant in 2022 due to its unlimited advantages. Let’s have a look at the top use cases and advantages of AI in live streaming in 2022.
High Automation Level
We are living in an era where automation is often the key to excel. Introducing AI and deep learning in live streaming is widening the path to automate the process. Artificial intelligence and machine learning techniques called deep learning imitates how people acquire specific types of information.
Data science, which also encompasses statistics and predictive modeling, contains deep learning as a key component. While a substantial portion of live streaming has been automated by motion tracking cameras, it still necessitates human involvement. The problem can be resolved with AI to ensure a high automation level without the need for extra sensors.
Deep learning is able to assess many videos and follow individuals and things throughout various videos. As a result, your live brand doesn’t require any additional resources or investment to achieve a high automation level.
When it comes to security during live streaming on various devices like smartphones, tabs, and others, AI can give unmatchable performance. Not only AI in live streaming ensures improved command response and control over these devices, but it can also teach and learn through experience to pace up with the current industry trends and patterns.
Furthermore, Software-based solutions on AI help protect your system and stop illegal access. Every time a user tries to access the system, the programme is set to learn. It will take what it has learned from the past and alter itself to make the system impenetrable.
AI in live streaming comes with another unique solution of continuous content monitoring to identify anomalies in content usage patterns and execute predetermined actions to reduce any possible risks. By indexing content, monitoring live streams for suspected copyright violations, and allowing users to flag illegal content, AI reduces the chances of copyright infringement.
The severe issues related to content breaches with live streaming are thus resolved on time by content moderation enabled by AI. Video content with objectionable, undesirable, or sensitive content are quickly discovered and filtered out as well.
In-Depth Video Content Analysis
Another emerging use case of AI in live streaming is – video content analysis. AI facilitates in-depth, precise and automated real-time video content analysis. Video analysis, often referred to as video content analysis or intelligent video analysis, is defined as the process of using AI to automatically detect, evaluate, and interpret behavior in real time by increasing insights from data in video recordings.
Deep learning and machine learning algorithms can take into account multi-layered data to classify information over time and identify video patterns. More dependable video quality, production, and streaming are required due to the expanding popularity of video services. AI is able to identify particular content, generate clips on its own, optimize playing, and align advertisements and content based on viewer interest.
Improved Video Encoding
One of the most prominent use cases of AI in live streaming is – it ensures the most suitable video encoding for optimum viewers’ experience. For different types of video content, a fixed bitrate ladder is initially utilized for encoding videos.
Different streaming data groupings require various processing techniques. Videos of poor quality and higher bandwidth consumption occur from taking into account various content in the same trends. When encoding a source file to multiple resolutions, the Peak Signal to Noise Ratio algorithm selects the best option.
It compares pixels to pixels through a new type of measure called Video Multimethod Assessment Fusion (VMAF), which blends machine learning algorithms with human vision framework. It has improved machine learning for the process of encoding video. The Netflix Corporation created VMAF to optimize higher video quality and it is being extensively used for better video encoding for diverse video content.
The Future of AI-Based Live Streaming
The rise of AI in live streaming is a highly explored topic for several reasons. As discussed above, AI is taking the live streaming industry and the viewers’ experience to a whole new level. Apart from the above-mentioned use cases, AI is poised in video creation and production which impact video editing, scriptwriting, cinematography and scoring. Through its ability to sense, reason, act and adapt, AI tends to become an in-demand technology in video production.
Many facets of video production and distribution methods like editing, filming, clips selection and sharing can be handled by AI. Automatic filming can be done with the help of drones which does not need any human interference. Many automated editing tools can edit videos quickly and AI can monitor the videos shared online. Computer Generated Imagery in video production makes the visuals more realistic.
The filming, editing, and post production processes are set to incorporate AI technology even more in future. Automation of media operations such as audio/video synchronization, content management, and media operations can reduce human mistake rates. Many movie studios are using AI in the entertainment sector to create trailers, use special effects, and design advertisements. The adoption of AI and ML by media content creators will improve the effectiveness and speed of media production. And in the upcoming years, the live as well as the VOD streaming sector are set to get more inclined to adopt AI.
Some of the top industry use cases of AI-based live streaming that is going to become even more prominent in the future are –
Starting from real-time patient diagnosis to personalizing treatment – AI-based live streaming is set to bring further revolution in the healthcare industry. One of the most prominent applications of AI in this industry tends to be real-time diagnosis of the patient through –
- AI checks for pupil dilation or change in color
- Change in Temp
- Change in Skin Tone
- Change in Tongue color
- Classifying identified skin lesions
- Detecting indicators of diabetic retinopathy in Ophthalmology
AI also helps execute complex tasks in other areas such as –
- Patient Monitoring
- Guided Surgical Care
- Patient Health Trajectory Projections
- Treatment Recommendations for Common Ailments
- Support Population Health Management
More advanced systems combine many data sources such as eye and skin images, CT, MRI, genomes, and proteomics, patient data, and even handwritten files, to name a few, to diagnose a disease or its course. This is just the beginning of the use of machine learning in diagnostics in which AI-based live streaming is going to have an even higher contribution in the coming years.
AI-based live streaming has been getting applied in the education sector for a while now. There are multiple ways in which AI can transform the education sector further in the near future. For instance, AI can check for distracted students during online classes and share feedback if any student was getting distracted or bored during the class. This also helps analyze student success metrics while making the online discussions, classes, or lectures more effective. AI-based live streaming will help take the online learning as well as whole education sector to a whole new level by –
- Making the online learning more effective
- Personalizing one-on-one teaching
- Helping teachers focus on every individual student with a curated approach as required
One of the crucial parts in security is Crime Detection. Crime detection is a crucial application area of AI-based live streaming and in future this is set to become even more popular. There are multiple ways in which AI-based live streaming can help in crime detection such as –
- Face recognition through surveillance in smart cities
- Crowd monitoring through surveillance to detect any possible anomaly
- Enabling facial recognition in live video footages
- Instant potential threat identification
- Using AI security cameras for license plate reading, unattended bag detection, and other unusual activities tracking
- Even can be adopted by the digital key lock manufacturers and can determine if the person at the door is a threat or not
And others. No doubt that the applications of AI-based live streaming are forecast to play even a more significant role in crime detection in future.
Start Your Live Streaming Journey With Muvi Live
The live streaming sector is undergoing a drastic change with the introduction of not only AI but other advanced technologies and to start off the right foot, you need a competitive live streaming platform.
Muvi Live is one of its kind of live streaming platform provider which is equipped with industry-grade feature-packed solutions like scalable CDN, live stream recording, customizable online video player, SEO optimization tools, and analytics & insights, to name a few.
Also, it holds a strong provision to facilitate AI-powered live streaming in the near future to leverage the upcoming opportunities. To build a strong foundation to utilize the AI-based solutions, you need to start with an enterprise-grade live streaming platform provider like Muvi Live.
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