Smartphone Token Spatial Tracking in Video Streams
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Solution Overview
Problem
Current video communication technologies face challenges in effectively interacting with diverse communication platforms and optimizing interactive displays, particularly in pinpointing the location of a token within a video stream, which limits the flexibility and engagement of video presentations.
Innovation Solution
A communication system that utilizes a smartphone as a token, leveraging accelerometer data, GPS, and triangulation to accurately identify its location within a video stream, allowing for overlay metadata and enhanced interaction through a networked architecture that combines video input with location information to pinpoint the token's spatial coordinates and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized tokens are used to pinpoint location in video streams, then location identification accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies universality by enabling smartphones to serve dual purposes: as communication devices and as location-tracking tokens. The smartphone's existing accelerometer, GPS, and camera components are leveraged to provide location identification functionality that would otherwise require specialized dedicated tokens, thereby eliminating the need for additional specialized hardware while maintaining accuracy.
Solution Approach 2:
The patent uses copying by creating a virtual representation of the smartphone's physical location and orientation within the video stream coordinate system. Instead of requiring physical tokens with unique identifiers, the system captures the smartphone's state (position, orientation) and creates a corresponding virtual token that can be tracked and identified in the video, simplifying the physical hardware requirements.
2Adaptability or versatility
If multiple communication protocols are supported for diverse platforms, then adaptability is improved, but system complexity increases
Solution Approach 1:
The patent applies the intermediary principle by introducing a coordinate mapping system that acts as a mediator between different communication protocols and platforms. This intermediary layer translates and standardizes location data from various sources (smartphone sensors, camera coordinates) into a unified reference frame, allowing the system to adapt to diverse communication technologies without increasing overall system complexity.
3Loss of information
If overlay metadata is integrated with video streams, then information richness is improved, but processing requirements and system complexity increase
Solution Approach 1:
The patent applies preliminary action by pre-mapping the smartphone's location and orientation data to the video stream coordinate system before the actual overlay rendering occurs. This pre-processing of spatial transformation and coordinate alignment reduces the computational burden during real-time video processing, as the heavy lifting of spatial coordination is completed in advance, thereby reducing overall processing requirements while maintaining information richness.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables precise identification and interaction with tokens within video streams, eliminating the need for specialized tokens and providing a flexible interface for controlling overlays, enhancing the engagement and flexibility of video presentations by allowing real-time feedback and metadata integration.
Implementation Method 1
The location information can include accelerometer data associated with the smartphone
Implementation Method 2
A communication system that utilizes a smartphone as a token, leveraging accelerometer data, GPS, and triangulation to accurately identify its location within a video stream
Implementation Method 3
A communication system that utilizes a smartphone as a token, leveraging accelerometer data, GPS, and triangulation to accurately identify its location within a video stream
Data Source
AI summary
A method is provided in one example embodiment and includes receiving video input data associated with a video stream and identifying one or more spatial plane coordinates within the video input data. The spatial plane coordinates can be associated with a smartphone configured to operate as a token in a video presentation associated with the video stream. The method also includes receiving location information that includes accelerometer data associated with the smartphone, and identifying a location of the smartphone based on the one or more spatial plane coordinates and the location information that includes the accelerometer data. In other embodiments, the method may include providing image data associated with a representation of the token as an overlay for a resultant video stream. The location information can include orientation data that includes a direction to which the smartphone can point, and an angle of rotation associated with the smartphone.