Automatic Object Effect Application in Video Recording
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Solution Overview
Problem
Conventional electronic devices lack the ability to automatically detect and respond to objects in a scene during video recording, failing to add real-time effects based on object interactions, which limits user engagement and interaction with the viewer.
Innovation Solution
The method involves previewing a scene, detecting objects, identifying those that meet specific criteria, and applying effects automatically, using a processor and camera to generate and store object criteria for multimedia files, enabling interactive and user-friendly video recording.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automatic object detection and effect application is implemented, then user engagement and interaction are enhanced, but device complexity increases
Solution Approach 1:
The system pre-defines multiple object criteria templates covering different scenarios (e.g., person detection, vehicle detection, animal detection) and stores them in memory. During video recording, the processor directly matches detected objects against these pre-defined criteria rather than creating criteria in real-time, significantly reducing computation complexity while maintaining high adaptability
Solution Approach 2:
The object criteria structure is designed to be universal, with a standardized format that can accommodate various object types and interaction scenarios through a single unified framework. The criteria include universal elements such as object identification, coordinate information, and effect parameters that can be applied across different recording scenarios
2Extent of automation
If real-time object detection and effect application is performed, then video interactivity is improved, but computation time increases
Solution Approach 1:
Object criteria are pre-defined and stored before video recording begins. The system prepares multiple criteria templates covering various object types and interaction scenarios, so during recording the processor only needs to match detected objects against these ready-made criteria rather than creating and evaluating criteria in real-time
Solution Approach 2:
The video processing is segmented into distinct stages: object detection, criteria matching, and effect application. This segmentation allows the system to efficiently handle each stage independently, with pre-defined criteria enabling rapid matching during the critical real-time processing phase
3Measurement precision
If object criteria are pre-defined and stored, then effect application accuracy is improved, but memory usage increases
Solution Approach 1:
The object criteria are organized in a hierarchical structure with specific fields for different aspects (object identification, coordinate information, effect parameters). This local quality organization allows the system to store only the necessary parameters for each object type without redundant information, optimizing memory usage while maintaining precision
Solution Approach 2:
A universal criteria structure is designed that can accommodate various object types through a standardized format. This universal template reduces memory usage by avoiding the need to create separate complex data structures for each object type, while still enabling precise effect application through the standardized fields
Data Source
AI summary
An electronic device and a method for adding an effect while recording are provided. The method includes previewing a scene in a field of view (FOV) of a camera of an electronic device; detecting available objects in the previewed scene; identifying that at least two objects from among the available objects meet an object criteria; and applying one or more effects on the at least two objects based on the object criteria.