Video Transcript Search System for Audio Keyword Discovery
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Solution Overview
Problem
Users face challenges in finding desirable video content due to the lack of search functionality based on audio content and inability to rate video quality, as existing systems do not allow for searching audio phrases or user ratings.
Innovation Solution
A system that processes video content to create transcripts, allowing users to search for keywords in audio content, rates video content units, and sorts results based on user ratings, while also transmitting relevant information to remote devices for presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users search for video content by title, then they can find content with known titles, but they cannot find content when they don't know the title or when the title is not representative of the subject matter
Solution Approach 1:
The system performs preliminary action by creating and storing transcripts of video content audio in advance. This allows the search function to query against the transcript database using keywords from user queries, enabling search by subject matter rather than requiring knowledge of titles. The transcripts are generated beforehand and made available for immediate keyword searching.
2Adaptability or versatility
If the system stores and processes audio transcripts for all video content, then keyword search capability is improved, but system complexity and processing requirements increase
Solution Approach 1:
The system extracts only the audio component from video content and converts it to text transcripts, separating this function from the main video storage and playback system. The transcript data is stored in a dedicated database that can be queried independently, allowing keyword search functionality to be added without fundamentally redesigning the entire video system.
3Loss of information
If users are unable to rate video content quality, then the system remains simple, but users lack information to make informed decisions about video quality
Solution Approach 1:
The system implements a feedback mechanism where users can rate video content quality, and these ratings are stored and displayed to other users. This creates a community-driven quality assessment system that provides valuable information to help users make informed decisions about which videos to watch, while the feedback loop continuously improves the quality information available in the system.
Data Source
AI summary
A system, method and computer program product for processing video is provided. In one embodiment, the method includes storing a plurality of transcripts in a memory along with information identifying an associated video content unit, receiving a search request comprising one or more keywords originating from a user, searching at least some of the plurality of transcripts for the one or more keywords, determining search results that comprises a plurality of video content units that satisfy a similarity threshold with the search request, wherein the plurality of video content units that satisfy a similarity threshold with the search request comprise video content units having a transcript that includes at least some of the one or more keywords, and transmitting information identifying at least some of the video content units of the search results to a remote device for presentation to the user.