Video Search Using Foreground and Spatiotemporal Query Segmentation
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Solution Overview
Problem
Existing video searching systems lack the capability to efficiently express composite queries involving multiple objects and their spatiotemporal relationships within specific backgrounds, limiting the ability to retrieve videos that meet complex query conditions.
Innovation Solution
A method and system for video searching that accepts video queries with multiple terms, including foreground objects and spatiotemporal relationships, allowing for the identification of foreground objects within specified backgrounds and temporal conditions, using Boolean and interval operators, and generating search results that match these criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If query-by-example format is used for video searching, then the system is simple to operate, but the capability to express composite queries involving multiple objects and spatiotemporal relationships is limited
Solution Approach 1:
The query system is segmented into distinct components: foreground object queries, background queries, and spatiotemporal relationship queries. Each component can be independently specified and combined using Boolean operators, allowing complex queries to be built from simpler elements while maintaining operational ease.
Solution Approach 2:
The system adds temporal and spatial dimensions to traditional video search by introducing spatiotemporal relationship operators (such as before, after, during, overlapping) that operate alongside traditional Boolean logic. This enables queries to specify not just what objects are present but also their temporal and spatial relationships.
2Device complexity
If traditional video searching systems are used, then the system complexity is low, but the ability to retrieve videos meeting complex query conditions is insufficient
Solution Approach 1:
The search system processes queries by segmenting them into distinct components (foreground objects, backgrounds, spatiotemporal relationships) that can be independently evaluated and combined. This modular approach maintains manageable system complexity while enabling accurate retrieval for complex queries.
Solution Approach 2:
The system introduces an intermediary processing layer that translates complex natural language or structured queries into standardized search operations. This intermediary handles the complexity of spatiotemporal relationships and Boolean combinations, preserving query retrieval accuracy while shielding users from underlying system complexity.
3Measurement precision
If multiple query terms are introduced for foreground objects and backgrounds, then the precision of video retrieval is improved, but the complexity of query processing increases
Solution Approach 1:
The query processing system segments multiple query terms into distinct categories (foreground objects, backgrounds, spatiotemporal relationships) and processes each category independently before combining results. This segmentation maintains high retrieval precision by ensuring each term is properly evaluated while managing processing complexity through modular organization.
Solution Approach 2:
The system changes the parameter representation of queries by introducing structured parameters for spatiotemporal relationships (such as temporal intervals and spatial configurations) alongside traditional object parameters. This parameterization enables precise multi-term queries while providing a systematic framework for processing that manages complexity.
Data Source
AI summary
A method for searching video includes receiving a video query, the video query including a first video query term identifying a first foreground object, a second video query term identifying a second foreground object, and a third video query term identifying a spatiotemporal relationship; searching the video in response to the video query for the first foreground object and the second foreground object within the spatiotemporal relationship; and generating a search result in response to the searching.