Video Object Data Storage Using Neural Network Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current digital video systems lack the ability for users to interact with videos and have inadequate data storage techniques, limiting their effectiveness in digital advertising, entertainment, and communication.
Innovation Solution
A video processing system that includes end-user devices, video object storing devices, object classification devices using neural networks, and communication control devices to recognize, store, and manage video objects, allowing for better interaction and storage of video data, including object classification, metadata association, and efficient data storage methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video data is stored in traditional formats, then storage capacity is maintained, but user interaction capability and data accessibility are limited
Solution Approach 1:
The patent segments video data into distinct objects with individual metadata, allowing independent access and interaction with specific video elements. This segmentation enables users to interact with particular objects rather than viewing the entire video, thereby improving adaptability and user interaction capability while maintaining manageable storage through structured organization.
Solution Approach 2:
The patent adds a metadata dimension to traditional video storage by associating structured data (bounding boxes, timestamps, object types) with video objects. This dimensional enhancement enables new interaction modes and search capabilities without fundamentally changing the core storage mechanism, thus improving versatility without excessive complexity.
2Measurement precision
If neural networks are used for object classification, then object recognition accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent performs object classification and metadata generation as a preliminary action during video processing, so that when users interact with video objects, the recognition and classification are already complete. This eliminates real-time processing delays and allows the system to leverage pre-computed accurate classifications without adding processing time to user interactions.
3Adaptability or versatility
If detailed metadata is stored for each video object, then data accessibility and interaction are improved, but storage requirements increase
Solution Approach 1:
The patent creates structured metadata copies of video object information (bounding boxes, timestamps, object types) that can be efficiently stored and queried. Instead of storing redundant video data, the system maintains compact metadata representations that enable rapid access and interaction while minimizing storage requirements through efficient data encoding.
Data Source
AI summary
A video object data storage and display system comprising a video object data selection and viewing portion and a video object data storage portion. The system comprises a video object having a: scale/size, pose/tilt, location, and frame/time. The system further comprises a database.