Video Recording Sensor Boundary Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video recording methods require manual adjustment of camera orientation and zoom, which can be cumbersome and prone to mechanical shaking, especially when capturing moving objects, and often necessitate the use of tripods or optical stabilizers, which can introduce unwanted effects.
Innovation Solution
A method and system that allow for pre-programmed video recording by defining boundaries and framing paths on a preview image, enabling automatic adjustment of sensor portions and optical image formation on an image sensor without manual camera movement, using a touch screen or other interfaces to create a video script that dictates framing and tracking modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of camera orientation and zoom is used, then the user can capture moving objects, but the operation becomes cumbersome and mechanical shaking occurs
Solution Approach 1:
The user defines boundaries and framing paths in advance on the preview image before recording begins. The camera system automatically executes these pre-programmed framing instructions during recording, eliminating the need for manual adjustments during capture and preventing mechanical shaking while maintaining ease of use.
2Reliability
If tripods or optical stabilizers are used, then camera stability is improved, but unwanted stabilizer effects are introduced
Solution Approach 1:
The patent replaces mechanical stabilization systems (tripods and optical stabilizers) with an electronic control system that adjusts the sensor portion positions based on pre-defined boundaries and framing paths. This substitution eliminates mechanical shaking through software control rather than physical stabilization, avoiding unwanted stabilizer effects while maintaining camera stability.
3Loss of information
If full image sensor data is processed, then complete image information is captured, but data processing and storage requirements increase
Solution Approach 1:
The image sensor is divided into multiple sensor portions, and only the relevant sensor portions corresponding to the defined boundaries are activated and processed during recording. This segmentation approach captures complete image information within the boundaries while reducing the quantity of sensor data that needs to be processed and stored, as data from non-relevant sensor portions is excluded.
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 smooth and stable video capture of moving objects without the need for manual camera adjustments or tripods, reducing data processing and storage requirements while avoiding unintended camera movements and stabilizer effects.
Implementation Method 1
providing first sensor data by forming a first optical image on an image sensor, providing second sensor data by forming a second optical image on the image sensor
Data Source
AI summary
A method for recording a video sequence comprises: —receiving a first instruction, which defines the position of a first boundary with respect to a preview image, —receiving a second instruction, which defines the position of a second boundary, —determining the position of a first sensor portion according the position of the first boundary, —determining the position of a second sensor portion according the second instruction, —providing first sensor data by forming a first optical image on an image sensor, —providing second sensor data by forming a second optical image on the image sensor, —determining a first image frame from the first sensor data obtained from the first sensor portion, —determining a second image frame from the second sensor data obtained from the second sensor portion, and —storing the first image frame and the second image frame.