© MetaVision — 4K/8K video stream segmentation
MetaVision is a non-commercial research project intended to make machine vision simpler and more effective.
The solution provides a single integrated environment with several comprehensive tools and various segmentation techniques intended to maximize segmentation accuracy.
MetaVision's approach combines traditional re-implemented from scratch computer vision algorithms to deal with 4K and 8K streams and pre-trained machine learning to achieve impressive accuracy.
Video stream segmentation along with detailed frame segmentation and time-based analysis can be used to make scene interpretation way more accurate and complete. Moreover, ultra-high-definition video streams transfer lots of valuable information/insights.
Tradition neural networks used to have various segmentation issues including rough edges and poor segmentation accuracy. The hybrid approach implemented by MetaVision provides impressive accuracy and literally "vectorizes" the input stream.
The proposed hybrid approach combines both flexibilities of machine learning and the accuracy of traditional algorithms.
Several general-purpose segmentation pipelines have been developed, providing accurate and robust results. Segmentation techniques provide a simple way to extract many valuable details.
Video streams also provide so-called natural variance for the objects of interest, so it is easier to get better accuracy avoiding any kind of artificial data augmentation.
High-definition video streams transfer lots of useful information/insights. Extraction of valuable details from the stream can be viewed as an important area of application in machine vision. The initial step and crucial basis in video stream analysis is frame segmentation.
The main idea behind the initiative is to make the solution fast, accurate and self-learning whenever possible. The final goal is to get the system constantly improving in terms of semantic connections and complex scenes analysis while performing accurate segmentation.
MetaVision's toolset includes several in-house developed solutions, including the segmentation pipeline (based on a custom segmentation approach), the validation pipeline (used to make produced results consistent) and so-called meta-vision pipeline (designed to properly handle scene evolution over time).
Any production line with a repetitive process might benefit from introducing a machine vision solution. Such solutions are being widely used in medical, automotive, food and other areas.
Compared to human inspection machine vision is faster, provides results continuously without any kind of quality degradation.