Video Augmentation Apparatus Using Segmented Clip Classification
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Solution Overview
Problem
Current methods for utilizing video content are not optimized to leverage its full potential as a communication medium, as they rely heavily on written formats and fail to effectively integrate or enhance video streaming with custom viewing lengths and ratings.
Innovation Solution
A video augmentation apparatus and method that uses a processor to receive and segment videos, classify segment data using an augmentation classifier, and generate an augmented video based on user inputs, allowing for adjustments in content such as rating, length, character, and tone, to create a customized viewing experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video content is presented in standard fixed formats, then production and distribution are simplified, but user engagement and communication effectiveness are reduced
Solution Approach 1:
The patent segments video content into discrete clips that can be independently selected and arranged. The system divides videos into multiple segments based on various criteria (rating, length, character, tone) allowing flexible recombination without reprocessing the entire video, thus improving adaptability while managing complexity through modular processing
Solution Approach 2:
The system performs preliminary actions by pre-segmenting videos and pre-classifying them into different categories (rating levels, length ranges, characters, tones) before user requests. This advance preparation enables quick assembly of customized videos without real-time complex processing, resolving the contradiction between format flexibility and processing complexity
2Ease of operation
If videos are customized to individual user preferences, then user engagement is improved, but processing time and system complexity increase
Solution Approach 1:
The system pre-processes videos by segmenting them and creating metadata tags for various attributes (rating, length, character, tone) before user requests. When a user requests customization, the system quickly assembles pre-prepared segments based on preferences rather than processing entire videos in real-time, significantly reducing generation time while maintaining full customization capability
Solution Approach 2:
The system creates simplified representations (copies) of video content in the form of segmented clips with associated metadata. These copies can be rapidly assembled and modified based on user preferences without manipulating the original full-length videos, reducing processing time while preserving customization options
Data Source
AI summary
A video augmentation apparatus is shown. The apparatus may comprise at least a processor and a memory. The processor may be configured to receive a plurality of videos, Additionally, the processor may generate a segment datum as a function of the plurality of videos. The segment datum may be classified to an augmentation datum. The classification may include training an augmentation classifier using a segment training data wherein the segment training data contains a plurality of data entries correlating required segment datum as an input to the augmentation datum as outputs. The classification may further include generating an augmentation classification datum, wherein augmentation classification datum is generated by classifying the segment datum to the augmentation datum using the augmentation classifier. The processor then may generate an augmented video as a function of the augmentation classification datum and display the augmented video using a user display device.