Video Object Interaction via Metadata Segmentation
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Solution Overview
Problem
Existing video data distribution systems lack the ability to effectively allow users to interact with and process image objects within video streams for functions such as shopping, searching, and messaging, as they are limited in their ability to recognize and respond to user-defined selections of objects within the video content.
Innovation Solution
A system and method that enable users to draw functional indicators around image objects in a video stream to perform actions like shopping, searching, and messaging by utilizing meta data associated with those objects, which can be stored on a server or embedded within the video data stream, allowing Boolean logic operations to be applied to the meta data for enhanced functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video data distribution systems process image objects with multiple functions (shopping, searching, messaging), then user interaction capability is improved, but device complexity increases
Solution Approach 1:
The system segments the video data stream into individual image objects, each associated with its own meta data. This allows independent processing of each object for different functions (shopping, searching, messaging) without requiring the entire video stream to be processed simultaneously, thereby reducing overall system complexity while maintaining versatility.
Solution Approach 2:
The patent implements a universal processing framework where the same meta data structure and processing mechanisms support multiple functions (shopping, searching, messaging). The system uses a unified approach to handle different user interactions with image objects, avoiding the need for separate dedicated systems for each function and thus managing complexity while enhancing adaptability.
2Adaptability or versatility
If the system processes and applies Boolean logic operations to meta data for enhanced functionality, then processing capability is improved, but computational requirements increase
Solution Approach 1:
The system performs preliminary processing of video data to extract and associate meta data with image objects before the actual query or processing occurs. By pre-processing and organizing meta data in advance, the system reduces the computational burden during real-time Boolean logic operations, as the data is already structured and ready for efficient querying and processing.
3Reliability
If the system embeds meta data within the video data stream, then data integration is improved, but data storage requirements increase
Solution Approach 1:
The patent applies local quality by embedding meta data only where and when needed within the video data stream, rather than uniformly adding meta data to all video data. This selective embedding approach maintains strong data integration for relevant segments while minimizing unnecessary data storage requirements for portions of the video stream that do not require enhanced object processing.
Data Source
AI summary
A system, method and computer program product are disclose for processing an object in a video data stream. The method runs on a processor programmed to execute the method and includes but is not limited to receiving input data at the client device for rendering on the client device display a first functional indicator indicating one of a plurality of functions and surrounding a first region of pixel locations representing a first image object in the video data stream; and performing a function indicated by the first functional indicator on meta data for the first image object in the first region of pixel locations.


