Automated Video Modifier Selection via Object Recognition
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Solution Overview
Problem
Current telecommunications devices face challenges in modifying video streams in real-time during video conferencing, requiring physical manipulation and lacking efficient systems for automated identification and presentation of image capture modifiers.
Innovation Solution
The system automates the identification and presentation of image capture modifiers by analyzing the image within the field of view of an image capture device and user interface interactions, allowing for real-time modification of video streams through the determination of user intent and object recognition within the video stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If physical manipulation of the device is used to modify video streams, then the device can be operated, but the operation becomes cumbersome and requires physical manipulation
Solution Approach 1:
The patent replaces physical mechanical manipulation with automated image analysis and processing. The system automatically identifies objects in the video stream and applies modifiers without requiring physical device manipulation, thereby improving ease of operation while reducing the need for complex mechanical controls
Solution Approach 2:
The system performs self-service by automatically analyzing the video stream, identifying objects of interest, and applying appropriate modifiers without user intervention. The automated identification and modification process eliminates the need for manual physical manipulation, enhancing ease of operation
2Productivity
If automated identification of image modifiers is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex manual processes with automated image analysis algorithms. The system uses computer vision and machine learning to automatically identify objects and determine appropriate modifiers, significantly improving productivity while the automated nature of the process manages the complexity through software rather than hardware
Solution Approach 2:
The patent introduces an intermediary automated processing layer between the video capture and the modifier application. This intermediary system analyzes the video stream, identifies objects, and selects modifiers automatically, improving productivity by streamlining the workflow while containing complexity within a dedicated processing module
3Speed
If real-time modification of video streams is performed, then the speed of modification is improved, but the complexity of processing increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing the video stream to identify objects and characteristics before modification is needed. This preparation work is done in advance during normal video capture, allowing for rapid real-time modification without excessive processing complexity during the actual modification moment
Solution Approach 2:
The patent segments the video processing into distinct modules: object identification, characteristic analysis, modifier selection, and application. This segmentation allows each module to be optimized independently for speed while managing overall system complexity through modular architecture
Data Source
AI summary
Systems, devices, media and methods are presented for presentation of modified objects within a video stream. The systems and methods select an object of interest depicted within a user interface based on an associated image modifier, determine a modifier context based at least in part on one or more characteristics of the selected object, identify a set of image modifiers based on the modifier context, rank a first portion of the identified set of image modifiers based on a primary ordering characteristic, rank a second portion of the identified set of image modifiers based on a secondary ordering characteristic and cause presentation of the modifier icons for the ranked set of image modifiers.