The development of AI/ML has given video stitching and its applications an entirely new dimension. Let’s examine the evolution of video stitching combined with AI/ML throughout time, the main difficulties developers have had to overcome, and the numerous uses for video stitching that use the newest AI-infused technology.
To know more about Video Stitching + AL/ML- Changing Landscape over the years, see https://www.logic-fruit.com/blog/al-ml/video-stitching-ai-ml/
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Video Stitching + AI ML- Changing Landscape over the years
1. Video Stitching +
AI/ML- Changing
Landscape over the
years
*This presentation is the intellectual property of Logic Fruit Technologies . Any plagiarism or misuse is
punishable according to Indian Laws.
March 2023
2. Image/video stitching is a technology for solving
image sensors' field of view (FOV)
limitation. Using an image stitching algorithm,
typically stitch a few original video frames to
create a template that may be used to stitch the
following frames.
With moving objects or jerky camera movement,
video stitching becomes more challenging. While
video stabilization methods address jitter and
shakiness, foreground detection technology
combines stitching to remove ghosting and
blurring.
2
What is Video Stitching
3. What is AI
Artificial intelligence, or AI, is the general
term for systems and algorithms
replicating human intellect, including
thinking like humans do and performing
cognitive tasks like perception, learning,
and problem-solving. Deep learning (DL)
and machine learning are branches of AI.
Modern web search engines,
voice-activated personal assistants,
self-driving cars, and
recommendation systems like those used
by Spotify and Netflix are some practical
applications of AI.
3
What is Machine Learning
(ML)
Machine Learning (ML), is a subset of artificial
intelligence (AI) that enables software systems to
improve their propensity to anticipate outcomes
without being specifically programmed to do so.
Machine learning algorithms predict new values
by using historical data as input.
A typical use case for machine learning is
recommendation engines. Other typical
applications include business process automation
(BPA), predictive maintenance, spam filtering,
malware threat detection, and fraud detection.
4. Integration of AI Capabilities with Video Stitching-
Benefits:
• Less performance Impact on the CPU and GPU
• Data consumption or stress on the memory bandwidth is less
• More realistic user experience with an accurate representation of all the views of the different
cameras
• More precise surveillance experience in safety, crowd control, and object/person tracking
4
Video stitching has recently made significant progress in securing large areas of space, such as a cricket
match in a stadium, where it can assist in covering all the views from more than 1000 cameras
distributed in the stadium.
When several views and stairways are stitched together on a single large screen, it dramatically
enhances the user experience and helps keep a closer eye on security issues.
5. Use Cases of Advanced AI and ML Video Editing
Technology
Automatic reframing, color matching, and audio ducking are some further applications of these AI and
ML-powered video editing technologies that need little manual labor.
The solution that can upscale original clips, eliminating the need to manually raise the size, which
frequently results in a blurry end product, is another AI-powered video editor that saves time.
The list includes tools that enable producers to simultaneously live-stream across social media
channels. At the same time, other web-based studio editors make it simple for users to make movies
while on the move.
5
6. The quality of the panoramic/360-degree films is improved by using AI/ML algorithms in video
stitching since they result in less misalignment along the stitching lines.
The advantages of AI and ML-powered video editing tools will be instantly noticeable for businesses
and content producers in terms of time savings and reduced labor requirements.
Since many of these solutions can manage numerous facets of the creation and dissemination of their
video material, organizations, and people will not only become more effective and able to handle
more projects at once, but they will also be able to expand their video processing capabilities.
6
To know more about Video Stitching + AI/ML- Changing Landscape over the years, see
https://www.logic-fruit.com/blog/al-ml/video-stitching-ai-ml/
7. Want to know more?
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the Video Stitching + AI/ML- Changing Landscape
over the years.
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