Multi-angle Video Synchronization via Metadata Embeddings
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Solution Overview
Problem
Current techniques for searching, discovering, and consuming video content on the internet are inefficient, as they do not effectively facilitate the discovery of user-generated video content, leading to a large amount of unused bandwidth and underutilized video data, particularly since existing methods rely on passive viewing and do not allow for synchronized multi-angle or dynamic consumption of video experiences.
Innovation Solution
The development of systems and methods for video curation and consumption that utilize metadata such as recording time, location, and audio patterns to synchronize and sync multiple video angles, enabling users to watch multiple videos simultaneously and interactively, with the ability to upload and synchronize user-generated content with existing videos, creating a cohesive multi-angle video experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional video search and discovery techniques are used, then users can access video content, but the discovery process is inefficient and most video content remains undiscovered and unused
Solution Approach 1:
The system performs preliminary actions by automatically analyzing video content, extracting metadata, computing embeddings, and organizing videos into collections before users search. This pre-processing enables efficient discovery without requiring users to manually search through vast amounts of content, thereby improving discovery efficiency while reducing wasted video content.
Solution Approach 2:
The patent introduces an intermediary system that acts as a mediator between video content and users. This system uses embedding models, metadata extraction, and automated collection creation to bridge the gap between undiscovered video content and potential viewers, enabling efficient matching of users with relevant videos without direct user searching.
2Ease of operation
If users watch videos one at a time using traditional methods, then they can consume video content, but they cannot efficiently discover or consume multiple related videos
Solution Approach 1:
The system merges multiple related videos into synchronized collections that can be played together. Users can watch multiple related videos simultaneously or sequentially within a unified interface, eliminating the need to manually search for and open each video separately. This maintains consumption simplicity while dramatically reducing the time needed to discover and access related content.
Solution Approach 2:
The video player is enhanced with multi-functionality to handle both single video playback and synchronized multi-video playback. The same interface supports traditional viewing while also enabling users to watch multiple related videos from different perspectives or sources simultaneously, providing versatility without complicating the user experience.
3Adaptability or versatility
If users upload their own video content, then they can contribute to the platform, but synchronizing and integrating user uploads with existing videos is complex
Solution Approach 1:
The system enables user videos to serve themselves by automatically analyzing uploaded content, extracting metadata, computing embeddings, and matching videos with existing collections. This self-service approach eliminates complex manual synchronization processes, allowing users to contribute content easily while the system automatically integrates it with existing video collections based on content similarity and metadata matching.
Solution Approach 2:
The patent replaces manual mechanical synchronization processes with automated computational methods. Instead of requiring users to manually configure and synchronize videos, the system uses embedding models, metadata extraction, and automated matching algorithms to integrate user uploads with existing content, dramatically simplifying the contribution process while maintaining high adaptability.
4Ease of manufacture
If video content is organized by traditional metadata alone, then search is simple, but discovery accuracy and relevance are insufficient
Solution Approach 1:
The system uses a composite approach by combining traditional metadata with modern embedding vectors and content-based analysis. This composite organization method maintains the simplicity of metadata-based sorting while adding the precision of machine learning-based content matching, enabling both easy organization and accurate discovery through multiple complementary indexing methods.
Data Source
AI summary
This disclosure relates to a multi-angle video platform operating on web and mobile, that allows users to play many videos at the same time about the same experience. Combining real time video technology, metadata analysis, and machine learning, the techniques, systems, and methods disclosed herein can facilitate easily syncing multiple videos of events like music festivals, rallies, sports, or music, giving users the chance to not only watch but also participate in the video experience, switching across video angles or audio sources, or eventually adding their own video or audio inputs into the multi-angle experience. The systems and methods disclosed herein can facilitate syncing live and/or non-live videos, as well as videos contributed directly to a mobile or computer-hosted application, as well as videos posted on external API's. Multi-angle videos, live or non-live, can be played in a mobile or computer-hosted application or on a website.