Video Collage Generation for Interesting Moment Navigation
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Solution Overview
Problem
Users are less likely to view videos due to the lack of efficient methods to identify and navigate to interesting moments within them.
Innovation Solution
A computer-implemented method to generate a collage of video segments that highlight interesting moments, allowing users to preview and navigate directly to these moments, with features such as interest scoring, frame rate variation, and hierarchical organization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users view entire videos to find interesting moments, then they can identify key content, but time consumption increases significantly
Solution Approach 1:
The video is divided into multiple segments based on detected interesting moments. The system identifies key moments in the video and creates separate segments around these moments, allowing users to view only relevant portions rather than the entire video. This segmentation approach maintains identification accuracy while significantly reducing time consumption.
Solution Approach 2:
The system performs preliminary analysis of the video to detect interesting moments and generate a collage before user viewing. By pre-identifying and organizing interesting moments into a collage format, the system prepares the content in advance, enabling users to quickly access key information without watching the full video.
2Loss of information
If users watch full videos to consume content, then they experience complete narratives, but engagement decreases due to boring sections
Solution Approach 1:
The system extracts interesting moments from the full video and presents them in a collage format. By taking out only the relevant and engaging portions while leaving out boring sections, the system maintains content completeness for interested users while improving engagement by allowing quick access to key moments through the collage preview.
Solution Approach 2:
The collage dynamically presents multiple video segments that can be selectively viewed. Users can interact with the collage to explore different interesting moments at their own pace, creating a dynamic viewing experience that adapts to user interest rather than forcing linear consumption of entire videos.
3Quantity of substance
If videos are presented in full format, then all content is available, but navigation to specific moments becomes difficult
Solution Approach 1:
The video content is segmented into multiple thumbnail-based segments in the collage, each representing an interesting moment. This segmentation allows users to navigate to specific moments by selecting relevant thumbnails rather than searching through the full video, maintaining content availability while dramatically improving navigation ease.
Solution Approach 2:
The system transitions from a single-dimensional linear video playback to a two-dimensional collage layout with multiple selectable segments. This dimensional change provides an overview of all interesting moments simultaneously, enabling easy navigation to any specific moment without linear searching through the entire video.
Data Source
AI summary
A computer-implemented method includes determining interesting moments in a video. The method further includes generating video segments based on the interesting moments, wherein each of the video segments includes at least one of the interesting moments from the video. The method further includes generating a collage from the video segments, where the collage includes at least two windows and wherein each window includes one of the video segments.