Consolidating Video Search via Metadata Merging
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Solution Overview
Problem
Video hosting services face challenges in efficiently searching and playing related videos due to the vast amount of uploaded content, often returning numerous discrete results that can be redundant and difficult to navigate.
Innovation Solution
A method and system that utilize metadata such as date, time, location, direction, title, and description to identify and merge related videos, creating a consolidated video by arranging them chronologically and removing overlapping scenes, allowing users to view a cohesive video experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video hosting services return numerous discrete video results for a search query, then the quantity of search results is increased, but the ease of operation and user experience deteriorates due to redundancy and difficulty in navigation
Solution Approach 1:
The patent merges multiple discrete video clips that are related to the same event into a single consolidated video. This is achieved by detecting overlapping time periods between clips and combining them intelligently, reducing the number of separate videos users must navigate while preserving all relevant content. The merging process uses metadata comparison and temporal analysis to create a unified video representation of an event.
2Quantity of substance
If video hosting services store vast amounts of uploaded video data, then the quantity of available content is increased, but the complexity of processing and searching this data increases
Solution Approach 1:
The system performs preliminary actions by extracting and storing metadata from video clips at the time of upload, including time stamps, location data, and event identifiers. This pre-processing allows for efficient later retrieval and consolidation without requiring complex real-time analysis of the entire video content. The metadata is prepared in advance to facilitate quick matching and merging operations.
Solution Approach 2:
The consolidation system uses self-service mechanisms by automatically comparing metadata from different video clips and identifying overlaps without requiring manual intervention. The system autonomously detects temporal relationships, matches related clips, and performs merging operations based on predefined criteria, reducing the need for complex external processing infrastructure.
3Measurement precision
If video hosting services provide individual discrete video results, then the manufacturing precision of search results is maintained, but the loss of information occurs due to redundant content and lack of contextual consolidation
Solution Approach 1:
By merging related video clips into a consolidated video, the system eliminates redundant content while preserving all unique information. The merging process intelligently combines clips by detecting overlaps and arranging them in a logical sequence, ensuring that no important information is lost while reducing repetition. This creates a more comprehensive and contextually coherent representation of the searched event.
Data Source
AI summary
A method of searching for videos includes receiving, by a computer device, a search query from a user computer device. The method also includes determining, by the computer device, a set of videos that satisfy the search query. The method further includes determining, by the computer device, a subset of related videos from the set using metadata to determine a relationship based on date, time, and location. The method additionally includes generating, by the computer device, a consolidated video from the subset of related videos by merging a first portion of a first one of the subset of related videos with a second portion of a second one of the subset of related videos.