Medical Video Element Identification via Image Slice Analysis
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Solution Overview
Problem
The increasing volume of video data from medical procedures, such as surgeries, makes it difficult for humans to efficiently identify relevant video elements, requiring significant computing power and advance planning, and existing methods are not capable of real-time analysis.
Innovation Solution
An apparatus that uses image analysis techniques to automatically identify medically relevant video elements by analyzing image slices or data streams from videos, employing a masking strip to extract relevant information, which can be done on-the-fly with reduced computational requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis techniques are used to automatically identify medically relevant video elements, then identification accuracy is improved, but computing power requirements increase significantly
Solution Approach 1:
The patent divides the video analysis task into multiple processing stages: initial filtering of video segments, extraction of key features, and detailed analysis only of relevant portions. This segmentation allows accurate identification while reducing overall computational load by avoiding exhaustive analysis of entire video streams.
Solution Approach 2:
The patent applies partial analysis by focusing computational resources on specific regions of interest within video frames and only performing full image analysis on segments that meet preliminary criteria. This partial action approach maintains identification accuracy for critical elements while significantly reducing total computing power requirements.
2Loss of information
If comprehensive video analysis is performed to identify all relevant elements, then completeness of identification is improved, but analysis time increases
Solution Approach 1:
The patent performs preliminary processing of video data including pre-computation of feature descriptors and organization of video content into structured segments before actual analysis. This preliminary action enables faster subsequent analysis while ensuring no relevant elements are missed, as the preprocessing stage prepares all necessary information in advance.
Solution Approach 2:
The patent implements continuous analysis pipelines that process video streams in real-time without interruption, maintaining constant monitoring for relevant elements. This continuous action ensures completeness of identification while optimizing analysis time through uninterrupted processing and efficient resource utilization.
3Speed
If real-time video analysis is implemented, then responsiveness is improved, but computational complexity increases
Solution Approach 1:
The patent employs dynamic adjustment of analysis parameters and processing intensity based on real-time conditions. The system adapts its computational complexity dynamically, increasing analysis depth when relevant elements are detected and reducing processing during routine segments, thereby achieving real-time responsiveness with variable computational demands.
Solution Approach 2:
The patent implements periodic sampling and analysis at optimized intervals rather than continuous full-frame processing. By analyzing video content at strategically determined periods and using frame differencing techniques, the system achieves real-time detection capability while significantly reducing average computational complexity compared to continuous analysis.
Data Source
AI summary
Apparatus for an automatic identification of medically relevant video elements, the apparatus comprising a data input, configured to receive a data stream of image slices, wherein the data stream of image slices represents a temporal course of a view of image slices defined by a masking strip of video images from a video which has been recorded during a medical surgery on a patient an analysis apparatus configured to analyze the data stream of image slices via an analysis comprising at least one predefined analysis step for the presence of at least one sought-for feature and to output a result of the presence, and a processing device configured to output a start mark which indicates a correspondence between the presence and a position in the data stream of image slices if the result indicates the presence of the sought-for feature. Also, a corresponding method is disclosed.