Video Trailer Generation for Quote Retrieval
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Solution Overview
Problem
Users face challenges in identifying and retrieving specific quotes or scenes from audio and video content, as existing technologies lack efficient methods for scene detection and trailer creation within large datasets like the internet.
Innovation Solution
A system that searches the internet for audio and video quotes, determines their location within the content, and creates video trailers by analyzing text, transcripts, and metadata, allowing users to access quotes without viewing the entire video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users search for specific quotes or scenes in audio and video content, then the ability to locate desired content is improved, but the time required to search through large datasets increases
Solution Approach 1:
The system performs preliminary actions by creating video trailers that contain quotes before user searches are executed. These trailers are pre-processed and indexed with metadata, allowing users to quickly access specific quotes without searching through entire video datasets, thus reducing search time while maintaining accurate quote location capability
Solution Approach 2:
The system extracts specific quotes from audio and video content and isolates them into separate video trailers. By extracting only the relevant portions containing desired quotes rather than requiring users to search through complete videos or large datasets, the system achieves precise quote location with significantly reduced search time
2Loss of information
If the entire video is provided to ensure complete content access, then content completeness is improved, but the user experience deteriorates due to the need to view unnecessary content
Solution Approach 1:
The system extracts and isolates specific quotes from the original audio/video content, creating separate video trailers that contain only the desired portions. This extraction ensures that users receive complete and accurate quote content without having to view unnecessary surrounding content, thereby maintaining content completeness while dramatically improving ease of operation and user experience
Solution Approach 2:
The system segments the original video content into smaller, quote-specific video trailers. Each trailer contains a specific quote or scene, allowing users to access only the relevant segment they are interested in. This segmentation maintains the完整性 of each quote while eliminating the need to view entire videos, thus preserving information completeness and enhancing user experience
3Ease of operation
If video trailers are created for all quotes, then content accessibility is improved, but the system complexity increases
Solution Approach 1:
Rather than creating video trailers for all possible quotes in the dataset, the system implements partial action by creating trailers only for quotes that are actually searched for or requested. This approach maintains high content accessibility for users while avoiding the excessive complexity of pre-processing and storing trailers for every potential quote, thus balancing ease of operation with manageable system complexity
Data Source
AI summary
Video trailers for a video quote may be created and provided to a user. The Internet may be searched to identify documents that likely include references to a video. A reference to the video within an identified document may be detected and determined to be a video quote. The video quote and related information may be extracted from the identified document. A location of the video quote within the video may be determined. A video trailer that includes the video quote may be created based on the location of the video quote. A request for a video trailer that includes a video quote or a partial video quote, specified by the user, may be received from the user. A video trailer that includes the video quote or the partial video quote may be identified and provided to the user.