Video Search Result Collage via Keyframe Relevance Scaling
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Solution Overview
Problem
Existing video search systems fail to effectively present relevant video search results in a way that allows users to quickly identify the most relevant videos, as they often return a large number of results and do not adequately differentiate between relevant and irrelevant content.
Innovation Solution
A system that segments videos into shots and stories, using keyframes to represent each shot, where the size and visualization of keyframes vary based on relevance, and combines text and visual search scores to rank results, allowing users to easily identify relevant content through collages of keyframes and additional information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If video search systems return a large number of search results, then the quantity of search results increases, but the ability of users to quickly identify relevant videos deteriorates
Solution Approach 1:
The patent segments video content into shots and stories, representing each shot with a keyframe. Search results are organized as collages of keyframes grouped by story, allowing users to quickly scan visual content without watching entire videos. This segmentation enables efficient browsing of large result sets.
Solution Approach 2:
The patent creates visual copies (keyframes) that represent entire video shots or stories. Instead of requiring users to view actual video content, the system displays representative keyframe images that capture the essence of each shot, enabling rapid assessment of relevance.
2Loss of information
If video search results are presented with detailed information, then the completeness of information increases, but the complexity of the presentation interface increases
Solution Approach 1:
Information is segmented into hierarchical levels: keyframes represent shots, collages represent stories, and multiple collages can be expanded to show detailed keyframes. Users can navigate from summary view to detailed view as needed, maintaining interface simplicity while providing complete information.
Solution Approach 2:
The patent uses spatial arrangement and scaling of keyframes within collages to encode relevance information. More relevant stories are represented by larger or more prominently positioned keyframes, allowing users to prioritize information without additional interface complexity.
3Ease of operation
If all video shots are visualized with equal size keyframes, then the simplicity of visualization increases, but the ability to differentiate relevant content deteriorates
Solution Approach 1:
The patent applies different visual qualities to different parts of the visualization. Keyframes representing more relevant shots or stories are displayed with larger sizes or different visual properties, while less relevant content uses smaller keyframes. This local differentiation maintains overall simplicity while encoding relevance information.
Data Source
AI summary
The invention displays video search results in a form that makes it easy for users to determine which results are truly relevant. Each story returned as a search result is visualized as a collage of keyframes from the story's shots. The selected keyframes and their sizes depend on the corresponding shots' respective relevance. Shot relevance depends on the search retrieval score of the shot and, in some embodiments, also depends on the search retrieval score of the shot's parent story. Once areas have been determined, the keyframes are scaled and/or cropped to fit into the area. In one embodiment, users can mark one or more shots as being relevant to the search. In one embodiment, a timeline is created and displayed with one or more neighbor stories that are each part of the video and which are closest in time of creation to the selected story.