Video Keyframe Extraction for Social Network Preview
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Solution Overview
Problem
Users face difficulty in sorting through numerous videos to find content of interest, requiring time-consuming processes of watching video portions before selecting a video that is actually of interest.
Innovation Solution
Displaying noteworthy frames or 'keyframes' from videos to provide a visual summary, allowing users to preview video content, navigate through keyframes, and make informed decisions about watching videos, while minimizing latency and conserving resources by packaging keyframes in a data-efficient format and leveraging pre-caching methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users watch portions of videos to determine interest, then users can identify relevant video content, but users consume excessive time and bandwidth
Solution Approach 1:
The patent extracts keyframes from videos to create a condensed visual summary that represents the entire video content. Instead of requiring users to watch video portions, the system extracts and displays representative frames that capture essential visual information, allowing users to evaluate video relevance quickly without time investment
Solution Approach 2:
The patent creates a visual copy of video content through keyframe sequences that replicate the essential visual narrative. These keyframes serve as a lightweight proxy for the full video, enabling users to assess content interest without consuming bandwidth or time associated with actual video playback
2Loss of information
If users watch video portions to select interesting content, then users can make informed decisions, but bandwidth and processor resources are wasted
Solution Approach 1:
The system extracts only the essential visual information needed for content evaluation by selecting keyframes that represent critical moments in the video. This extraction process eliminates the need to transmit or process entire video files, significantly reducing bandwidth consumption and server processing requirements while maintaining adequate content understanding
Solution Approach 2:
The patent changes the parameter of video representation from full-resolution continuous video to discrete low-resolution keyframe images. This parameter transformation reduces data size and processing demands while preserving the essential visual information needed for users to understand video content and make selection decisions
3Measurement precision
If comprehensive video previews are provided, then users can efficiently evaluate video content, but data transmission volume increases
Solution Approach 1:
The patent segments video content into discrete keyframe units that can be transmitted independently. Instead of providing continuous video previews that would require large data transmission, the system divides the video into essential frames that collectively represent the content, reducing overall data volume while maintaining preview completeness
Solution Approach 2:
The system provides just enough visual information through selective keyframes to enable effective video evaluation, rather than transmitting complete video data. This partial action approach transmits only the necessary portion of video content (key moments captured in frames) sufficient for user decision-making, optimizing the balance between preview completeness and data efficiency
Data Source
AI summary
In one embodiment, a method includes receiving a query from a user for videos; identifying videos matching the query; retrieving, for each identified video, a set of keyframes that are associated with one or more concepts; calculating, for each keyframe of each identified video, a keyframe-score based on a prevalence of the concepts associated with the keyframe, determined with reference to the concepts associated with each other keyframe in the set of retrieved keyframes for the identified video; and sending, to the first user, a search-results interface including search results corresponding to one or more of the identified videos, each search result comprising keyframes for the corresponding identified video having keyframe-scores greater than a threshold keyframe-score.