Dynamic Metadata Threshold Calibration for Video Content
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Solution Overview
Problem
Conventional content shooting apparatuses lack the ability to dynamically and flexibly adjust metadata generation thresholds based on shooting conditions, leading to variations in metadata generation among users or subjects, resulting in inadequate classification of shot scenes.
Innovation Solution
A content shooting apparatus that includes shooting means, camerawork detection, metadata generation, and calibration means to adjust predetermined values based on detected movement, allowing for the classification of video or audio as invalid content when movement exceeds a set threshold, and uses an angular velocity sensor to detect rotational movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fixed thresholds for metadata generation are used, then the system is simple to operate, but the metadata generation varies among users or subjects leading to inadequate scene classification
Solution Approach 1:
The patent applies dynamics by making the metadata generation threshold adjustable rather than fixed. The calibration unit allows the threshold to be dynamically modified based on shooting conditions, camera types, and operational modes, enabling the system to adapt to different recording scenarios while maintaining accurate scene classification.
Solution Approach 2:
The patent implements parameter changes by providing multiple threshold values corresponding to different shooting conditions, camera types, and operational modes. The calibration unit selects or adjusts the appropriate threshold parameter based on the current recording context, allowing precise metadata generation without requiring complex real-time calculations.
2Reliability
If manual threshold adjustment is required, then the system can be calibrated for specific needs, but the operation becomes more complex and time-consuming
Solution Approach 1:
The patent applies self-service by enabling the system to automatically select and apply appropriate threshold values based on detected shooting conditions, camera type, and operational mode. The calibration unit operates autonomously to ensure consistent and reliable metadata generation without requiring manual intervention from the user.
Solution Approach 2:
The patent implements preliminary action by pre-configuring multiple threshold values corresponding to different shooting conditions before actual recording. The calibration unit selects the appropriate pre-set threshold based on the detected conditions, eliminating the need for manual calibration during operation while ensuring reliable metadata generation.
3Adaptability or versatility
If multiple threshold values are provided for different conditions, then the scene classification becomes more accurate, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing a single calibration unit that handles multiple functions: detecting shooting conditions, identifying camera types, determining operational modes, and selecting appropriate threshold values. This multi-functional approach provides adaptability to various shooting scenarios while avoiding the complexity of separate systems for each function.
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 the calibration of metadata generation thresholds according to shooting conditions, enabling more accurate and flexible classification of valid and invalid scenes, improving the efficiency of content editing by generating a digest with higher quality and relevance.
Implementation Method 1
uses an angular velocity sensor to detect rotational movement
Data Source
AI summary
A content shooting apparatus is provided, in which thresholds for generating metadata concerning shot images can be calibrated in accordance with shooting conditions.In a content shooting apparatus (Acc) for converting content data (Dc) into a stream (AV) and recording the stream (AV) to a recording medium (214) in combination with content-related metadata (Dm), a camera (101) shoots a subject (105) and generates the content data (Dc), a camerawork statistics portion (206s) detects movement (σ) of the camera, a camera microcomputer (206) compares the detected movement (σ) with a predetermined value (Th) to generate the metadata (Dm), and an automatic threshold setting portion (206t) changes the predetermined value (Th) in accordance with the detected movement (σ).