Implicit Video Location Augmentation via Feature Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Digital videos often lack accurate location information, especially when captured without GPS or with imprecise geolocation data, which is a limitation in various applications such as video conferencing and user-generated content.
Innovation Solution
The method of implicit video location augmentation identifies geolocation for video frames by detecting geolocatable features and matching them with previously geolocated orientation features, generating confidence indicators for accuracy, and interpolating geolocation information for subsequent frames, thereby associating accurate location data with the video frames.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS or explicit geolocation data is used to capture video location information, then location accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces GPS hardware-based location detection with a software-based image recognition system that detects geolocatable features (landmarks, buildings, natural features) in video frames and matches them against a database of known locations, thereby achieving accurate location tagging without requiring GPS hardware
Solution Approach 2:
The patent introduces an intermediary database of pre-geolocated orientation features that serves as a reference medium between the video content and location information. The system matches detected features in video frames against this intermediary database to determine video location, avoiding direct GPS dependency
2Measurement precision
If feature detection and matching is performed for every video frame, then location precision is improved, but processing time and computational resources increase
Solution Approach 1:
The patent segments the video processing into discrete frames and processes them individually or in batches. The system can selectively apply feature detection to key frames or frames where location information is most needed, rather than uniformly processing every frame, thereby reducing overall computational burden while maintaining location precision for critical moments
Solution Approach 2:
The patent implements partial action by performing comprehensive feature detection only when necessary (e.g., when GPS data is unavailable or confidence is low), and using simpler interpolation methods for frames where full detection would be redundant. This selective approach balances precision requirements with processing efficiency
3Loss of information
If geolocation information is interpolated for frames between detected frames, then coverage of location data is improved, but potential accumulation of errors increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors the confidence levels of detected features and adjusts interpolation strategies accordingly. When detection confidence is high, aggressive interpolation is used to maximize coverage; when confidence is low, the system reduces interpolation to prevent error accumulation, thereby maintaining reliability while improving overall data coverage
Solution Approach 2:
The patent employs dynamic interpolation methods that adapt to the specific characteristics of each video sequence and detection scenario. The system dynamically adjusts interpolation intensity, method selection, and confidence thresholds based on real-time analysis of feature detection quality, video motion characteristics, and environmental factors, optimizing the balance between coverage and reliability
Data Source
AI summary
A method and apparatus for performing implicit video location augmentation are provided. Implicit video location augmentation may include identifying a first geolocation for a first frame from a plurality of video frames based on a first image captured by the first frame, identifying a second geolocation for a second frame from the plurality of video frames based on a second image captured by the second frame, determining, by a processor, a third geolocation for a third frame from the plurality of video frames based on the first geolocation and the second geolocation, and storing an updated plurality of video frames such that the first frame is associated with the first geolocation, the second frame is associated with the second geolocation, and the third frame is associated with the third geolocation.