Video Content Calibration with Geographical Models
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Solution Overview
Problem
Current video content annotation techniques are time-intensive and limited to static labels, failing to effectively correlate video content with geographical locations and allow dynamic annotation tracking.
Innovation Solution
Calibrating video content with geographical models and using position and orientation sensors to correlate it with geographical locations, enabling dynamic annotation based on visual aspects and user feedback for filtering and ranking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual annotation techniques are used, then users can attach labels to video content, but the process becomes time-intensive and limited to static labels
Solution Approach 1:
The system enables automatic annotation by having the video content and geographical models self-correlate through calibration. The calibration process automatically matches video content with geographical features without requiring manual intervention, thus reducing annotation time while maintaining ease of operation.
Solution Approach 2:
The patent replaces manual mechanical annotation processes with automated computational methods. By using calibration algorithms that automatically correlate video content with geographical models, the system eliminates the need for time-consuming manual label attachment while preserving user-friendly operation.
2Device complexity
If static labels are used for annotation, then the annotation process is simple, but the system cannot correlate video content with geographical locations or track dynamic changes
Solution Approach 1:
The system transitions from static labels to dynamic annotations by calibrating video content with geographical models. This calibration enables the annotations to dynamically track and adapt to geographical locations and visual changes in the video content, enhancing versatility without significantly increasing system complexity.
Solution Approach 2:
The patent adds a geographical dimension to traditional video annotation by correlating video content with geographical models. This dimensional enhancement allows the system to provide location-based annotations and correlations while maintaining a relatively simple annotation framework.
3Reliability
If video content is correlated with geographical locations using calibration, then dynamic annotation tracking is enabled, but the calibration process requires integration with geographical models and sensors
Solution Approach 1:
The calibration system is designed to be multi-functional by integrating both position and orientation sensor data. This universal approach allows a single calibration process to handle multiple types of geographical correlations, improving reliability while managing device complexity through consolidated functionality.
Solution Approach 2:
The patent uses calibration as an intermediary process that bridges video content and geographical models. This intermediary calibration layer simplifies the integration complexity by providing a standardized method to correlate video data with geographical information, thereby improving correlation accuracy without proportionally increasing system complexity.
4Productivity
If annotations are added from multiple users based on geographical information, then users can access relevant content from similar locations, but the system must filter and rank annotations from multiple sources
Solution Approach 1:
The system implements feedback mechanisms to filter and rank annotations from multiple users. By using geographical information and user preferences as feedback criteria, the system can automatically prioritize relevant annotations, improving content accessibility while managing filtering complexity through intelligent ranking algorithms.
Data Source
AI summary
Various embodiments provide techniques for calibrating and annotating video content. In one or more embodiments, an instance of video content can be calibrated with one or more geographical models and/or existing calibrated video content to correlate the instance of video content with one or more geographical locations. According to some embodiments, geographical information can be used to annotate the video content. Geographical information can include identification information for one or more structures, natural features, and/or locations included in the video content. Some embodiments enable a particular instance of video content to be correlated with other instances of video content based on common geographical information and/or common annotation information. Thus, a user can access video content from other users with similar travel experiences and/or interests. A user may also access annotations provided by other users that may be relevant to a particular instance of video content.