Video Search System with Scene Segmentation and Timestamped Location Indicators
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Solution Overview
Problem
Conventional information retrieval systems for video content are limited in dynamically selecting scenes or segments and do not provide reliable search results, as they rely solely on key words associated with file names without indicating the location of search terms within the video files.
Innovation Solution
A system that processes video content queries using text, video images, and visual content, ranking and displaying video articles with indicators showing the location of search terms within the videos, allowing users to select and play specific segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional search applications use only key words associated with file names for video search, then the search process is simple, but the search results are unreliable and lack location information
Solution Approach 1:
The patent segments video content into distinct scenes and time-stamped segments, allowing search results to point to specific locations within videos rather than just returning entire files. This segmentation enables reliable location identification while maintaining manageable system complexity through structured video indexing.
Solution Approach 2:
The system performs preliminary analysis of video content to extract key frames, identify scenes, and create time-stamped segmentations before search operations. This preliminary action prepares the video data in advance, enabling reliable search results with location information without adding complexity during the actual search process.
2Adaptability or versatility
If conventional systems provide only predetermined scene segments for video navigation, then the system is simple to implement, but the user cannot dynamically select scenes based on current video context
Solution Approach 1:
The patent implements dynamic scene selection that adapts to the user's current video position and context. The system continuously analyzes the current video segment and dynamically generates relevant scene suggestions, transforming the static navigation into a dynamic, context-aware process that enhances adaptability while managing complexity through efficient video analysis.
Solution Approach 2:
The system uses feedback from the user's current video viewing position and interaction history to dynamically adjust scene recommendations. This feedback mechanism enables the navigation system to adapt to user needs in real-time, providing contextually relevant scene selections without requiring complex manual configuration.
3Loss of information
If search applications return video files without indicating search term locations, then the data processing is simple, but users cannot locate specific content within videos
Solution Approach 1:
The patent adds a temporal dimension to search results by providing time-stamped location information within videos. Instead of only returning which video files contain search terms, the system indicates the specific time positions and scenes where terms appear, enabling users to quickly navigate to relevant content without watching entire videos.
Solution Approach 2:
The system introduces an intermediary layer of scene identification and time-stamping between the search query and the video content. This intermediary processing extracts and annotates location information from videos, acting as a bridge that connects search terms to their specific positions within video content without requiring users to manually search through videos.
Data Source
AI summary
An information retrieval system is provided for processing queries for video content. A server receives a query for video content and returns video articles, as received from broadcast systems or other content providers. Queries are formulated using text, video images, and/or visual content associated with a video article. Various video-oriented characteristics associated with the results of the queries are determined and a rank score is calculated for each. The ranked video articles are displayed in a representation to the user, from which the user can play the video article either within the representation or independent of it.