Region of Interest Estimation from Mobile Sensor Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional event databases are cumbersome and time-consuming to maintain, often miss local events not advertised through mainstream channels, struggle to automatically determine Regions of Interest (ROI) during events, and lack intuitive user interfaces for navigating multiple viewpoints of events.
Innovation Solution
A system and method using sensor data from mobile devices to estimate and visualize Regions of Interest (ROI) by analyzing location and orientation data, constructing origin points and vectors, and generating viewing frustums to determine the spatial extent and shape of events, enabling intuitive navigation across multiple viewpoints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual efforts are used to maintain event databases by scouring communication channels, then event information can be collected, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system enables automatic event discovery by having mobile devices self-report their location and orientation data, which the server automatically processes to identify events and update databases without manual intervention
Solution Approach 2:
Manual database maintenance is replaced by an automated system that uses sensor data from mobile devices, coordinate space analysis, and algorithmic event detection to automatically discover and record events
2Loss of information
If content reviewers search limited communication channels for events, then some events are discovered, but many local events not advertised through mainstream channels are missed
Solution Approach 1:
The system transitions from searching communication channels (information dimension) to analyzing spatial data (geographic dimension) by constructing coordinate spaces from mobile device locations and orientations to discover events
Solution Approach 2:
Mobile devices serve multiple functions: they are both the sensors capturing event data and the sources of location/orientation information, eliminating the need for separate detection systems
3Adaptability or versatility
If multiple recording devices capture content from different locations, then more viewpoints are available, but determining the Region of Interest becomes complex
Solution Approach 1:
The system divides the problem into discrete steps: constructing individual origin points from each device, creating vectors representing device orientations, generating viewing frustums for each device, and finally synthesizing these to determine the ROI through coordinate space analysis
Solution Approach 2:
The patent introduces coordinate spaces and viewing frustums as intermediary constructs that mediate between raw sensor data from multiple devices and the final ROI determination, making the complex synthesis manageable
4Adaptability or versatility
If users are offered video recordings from different viewpoints, then event perspectives are available, but navigating across multiple viewpoints lacks an intuitive interface
Solution Approach 1:
The system adds a spatial dimension to viewpoint navigation by displaying recording device locations on a map interface, allowing users to intuitively select viewpoints based on geographic position rather than abstract video sources
Data Source
AI summary
Disclosed are devices, systems, methods, techniques, and computer program products for estimating a Region Of Interest (ROI) corresponding to a plurality of content streams. A method may include receiving a plurality of sensor data associated with a plurality of mobile devices. The plurality of sensor data corresponds to a plurality of content streams captured by the plurality of mobile devices. Further, each of the plurality of mobile devices may include at least one recorder configured to capture a corresponding content stream. Further, a sensor data associated with a mobile device may include a location data and an orientation data of the mobile device during capturing of a content stream. The method may further include, analyzing, by the system, the plurality of sensor data and determining, by the system, a ROI based on at least the plurality of sensor data, thereby generating an estimation of the ROI.